Saturday, 29 June 2013

Basics of Online Web Research, Web Mining & Data Extraction Services

The evolution of the World Wide Web and Search engines has brought the abundant and ever growing pile of data and information on our finger tips. It has now become a popular and important resource for doing information research and analysis.

Today, Web research services are becoming more and more complicated. It involves various factors such as business intelligence and web interaction to deliver desired results.

Web Researchers can retrieve web data using search engines (keyword queries) or browsing specific web resources. However, these methods are not effective. Keyword search gives a large chunk of irrelevant data. Since each webpage contains several outbound links it is difficult to extract data by browsing too.

Web mining is classified into web content mining, web usage mining and web structure mining. Content mining focuses on the search and retrieval of information from web. Usage mining extract and analyzes user behavior. Structure mining deals with the structure of hyperlinks.

Web mining services can be divided into three subtasks:

Information Retrieval (IR): The purpose of this subtask is to automatically find all relevant information and filter out irrelevant ones. It uses various Search engines such as Google, Yahoo, MSN, etc and other resources to find the required information.

Generalization: The goal of this subtask is to explore users' interest using data extraction methods such as clustering and association rules. Since web data are dynamic and inaccurate, it is difficult to apply traditional data mining techniques directly on the raw data.

Data Validation (DV): It tries to uncover knowledge from the data provided by former tasks. Researcher can test various models, simulate them and finally validate given web information for consistency.


Source: http://ezinearticles.com/?Basics-of-Online-Web-Research,-Web-Mining-and-Data-Extraction-Services&id=4511101

Thursday, 27 June 2013

Data Mining, Visual Analytics, and The Human Component!

With all the massive amounts of data we are collecting from the Internet, well, it is just amazing the things we can do with it all. Of course, those concerned about privacy, well, you can understand why organizations like the Electronic Freedom Foundation is often fit to be tied. Still, think of all the good that can become of all this data? Let me explain.

You see, with the right use of visual analytics and various data mining strategies, we will be able to do nearly anything we need too. And, yes, I guess it goes without saying that I have a ton of thoughts on Visual Analytics of the Internet, Mobile Ad Hoc networking, and Social Networks along with some concepts for DARPAs plan for "crowd sourcing" innovation, it makes perfect sense to me, as each participant becomes basically a "neuron" and we use the natural neural network scheme.

What we need is a revolution in data mining visual analytics, so the other day I spent 20-minutes considering this and here are my thoughts. I propose an entirely new concept herein. Okay so let me explain my concept. But first let me briefly describe the bits and pieces of ideas and concepts I borrowed from to come up with this;

    There is an only UFO or Sci Fi tale I read, where the alien race said; "There is a whole new world waiting for you if you dare to take it,"
    Taking the "it" part of that line and calling "it" = "IT" as in Information Technologies.
    Next, combining that "IT" or "It entity" with that old Christian apocalyptic "mark of the beast" and the old computer system in Belgium 30-years ago claiming to be big enough to track every world transaction, also nick-named the beast.
    Then combining that concept with V. Bush's concept of "recording a life" or the later "life log theory" from Bell Labs.
    Then using the concept of the eRepublic, where government is nothing more than a networked website.
    Then considering the thought of Bill Gate's concepts in "the Road Ahead" where the digital nervous system of a corporation was completely and fully integrated.
    Combined with SAPs, and Oracles enterprise solutions
    Combined with Google's data bases
    Combined with the Pangaea Project for kids to collaborate in elementary school around the world and programming the AI computer, using a scheme designed by Carnegie Mellon to crowd source the teaching of an AI system. "eLearning Collaborative Networks like Quorum or Pangaea"
    Combined with IBMs newest mind map visualization recently in the news..
    Combined with these following thoughts of mine:

    My Book; "The Future of Truck Technologies," and 3D and 4D Transportation Computer Modeling; Page; 201.
    My Book; "Holographic Technologies," specifically; Data Visualization Schemes; Page 57 Chapter 5.
    My Article on 3D and 4D Mind Maps for Tracking and Analyzing.
    My Article on Mind Maps of the Future and Online style Think Tanks
    My Article on Stair Step Mentorship for Human Learning in the Future and Never Aging Societies.

Okay now let me explain the premise of my concept for Visual Analytics;

First, forget this whole idea of a 2D mind mapping concept or chart used to show links between terrorist players, cells, assets, acquaintances, etc., the way it is laid out currently - make it 3D, actually make it 4D and 5D where some layers can only be seen by a select few, and let's say a 6D level that can only be accessed by an AI super computer [why; because I don't trust humans, they can't be trusted, i.e. WikiLeak, leaker for instance].

Next ALL the data is stored within in the sphere. But to access the data on the outer side of the sphere, picture Earth's surface, the ball or sphere (with grids like a map of the globe) rolls around on a giant grid paper. When you want to look at a particular event, person, subject, or whatever, a particular point on the sphere's grid touches a corresponding point on the grid paper it rolls on, the grid paper it rolls on can wrap around and morph itself to the sphere or contour itself so the next corresponding piece of information on the surface can be accessed, rolling or spinning.

Picture a selectric typewriter ball on a shaft as a 2D model to consider this, now make it all 3D in your mind, and the paper molds around the sphere as it accesses, or in the case of a selectric typewriter it types. Now the Sphere is hollow inside containing layers, just like the earth, crust, mantel, and core. Information goes deep or across, every piece of information is connected, think about the earliest string theory models for this.

Great thing about my visualization concept is I believe all this math exists, even though in reality string theory is mostly bunk, but the math to get there makes this possible. As the information goes deep, think about the iPad touch screen, or the Microsoft restaurant "menu on a table" concept, or the depictions of Minority Reports, moving of the screens by way of motion gestures, I believe Lockheed also has this concept up and running for air-traffic control systems, prototype versions, perhaps the military is already using it, as it has massive applications for the net centric battlespace visualization too.

Okay so, some levels go through a frame-burst scenario taking you into another level, where the data generally stored at the almost infinite number of grid points and cross connected to every other is nothing more than a nucleus with additional data spinning around it. But the user cannot access all that information, without clearances, the AI system has access to all of it, while a sorting system is a series of search features within search features, with non-linked data also. You can't break into it; it's not connected to the users' interface at all, think of the hidden data as electrons unattached around the data. The data is known to exist but cannot be accessed that would be the 5D level, and 6D level no human may get too, but the data exists.

You know that surfer dude in Hawaii that came up with the "Grand Theory of the Universe" why not use his model for our visualization, in spherical form, again, the mathematics for all this already exists.

You see, what I need is a way to find people like me, I want to find these thinkers and innovators to take it all to the next level, and if the visualization is there, we can find; The Good Guys, Bad Guys, and the Future all at once. Why do I want a "Neural Network" visualization system in a sphere? It seems to me that this is how the brain does things, and what we are doing here is creating a Collective Brain, using each individual assigned to an "ever-expanding" unit of data, along a carrier or flow.

Remember when Microsoft Labs came out with that really cool way to travel through the Universe and look at all the celestial bodies along the way, using all the Hubble Pictures collected? It's kind of like that, you travel to the information, discover as you travel and it piques your curiosity as you go triggering your own brain waves, and splashing the users minds with chemical rewards as they go, as they discover more information, expanding their understanding as well, it just seems to me this is how it all works anyway.

Think of that old Sci Fiction concept where the Earth and our solar system are merely an atom of a chemical compound within a cell of the human body, all we can see is all the other compounds around us because everything is so small, thus, we cannot see the whole picture and what appears to be an entire universe would only be a few thousand cells close enough for us to see. And time itself is slow, as the electrons or planets moving around the atom appears to take a year to circle the nucleus instead of 10,000 times a second.

So, combining all these types of thoughts, this is how I envision how the future visualization tools would work.

Now then, using the whole concept of connecting the dots for information or even building an AI search feature scouring the system at speeds of terabytes a second, the AI computer can become the innovator, thanks to the user asking the question, and all the neurons (individual humans) with all their data putting in the information. You just need the best questions, you get instance answers.

Okay so, take this concept one step further; the AI super computer's operation is a "brain wave" and that brain wave is assigned a number, you can have as many brain waves, as the internet has IP addresses, with whatever scheme for that you choose. And your query can search the former queries too. The user's questions are as important as the data itself.

Thus, it helps us find the innovators, the question askers, once we know that, we have the opportunity for unlimited instant knowledge. Data visualization can take us there, and it removes all the fog of uncertainty, and answers most all the questions we could ever hope to ask, and comes up with its own questions as well. Does this make sense?

This is the type of visualization I need to faster access information, and I can solve all the problems, even the ones humans refuse to solve, or doom themselves to repeateth. That's my preliminary thought on this - may we start such a dialogue on the topic? If so, email me, and I hope you enjoyed today's dialogue?



Source: http://ezinearticles.com/?Data-Mining,-Visual-Analytics,-and-The-Human-Component!&id=4817019

Tuesday, 25 June 2013

An Easy Way For Data Extraction

There are so many data scraping tools are available in internet. With these tools you can you download large amount of data without any stress. From the past decade, the internet revolution has made the entire world as an information center. You can obtain any type of information from the internet. However, if you want any particular information on one task, you need search more websites. If you are interested in download all the information from the websites, you need to copy the information and pate in your documents. It seems a little bit hectic work for everyone. With these scraping tools, you can save your time, money and it reduces manual work.

The Web data extraction tool will extract the data from the HTML pages of the different websites and compares the data. Every day, there are so many websites are hosting in internet. It is not possible to see all the websites in a single day. With these data mining tool, you are able to view all the web pages in internet. If you are using a wide range of applications, these scraping tools are very much useful to you.

The data extraction software tool is used to compare the structured data in internet. There are so many search engines in internet will help you to find a website on a particular issue. The data in different sites is appears in different styles. This scraping expert will help you to compare the date in different site and structures the data for records.

And the web crawler software tool is used to index the web pages in the internet; it will move the data from internet to your hard disk. With this work, you can browse the internet much faster when connected. And the important use of this tool is if you are trying to download the data from internet in off peak hours. It will take a lot of time to download. However, with this tool you can download any data from internet at fast rate.There is another tool for business person is called email extractor. With this toll, you can easily target the customers email addresses. You can send advertisement for your product to the targeted customers at any time. This the best tool to find the database of the customers.

However, there are some more scraping tolls are available in internet. And also some of esteemed websites are providing the information about these tools. You download these tools by paying a nominal amount.


Source: http://ezinearticles.com/?An-Easy-Way-For-Data-Extraction&id=3517104

Saturday, 22 June 2013

Data Mining Services

You will get all solutions regarding data mining from many companies in India. You can consult a variety of companies for data mining services and considering the variety is beneficial to customers. These companies also offer web research services which will help companies to perform critical business activities.

Very competitive prices for commodities will be the results where there is competition among qualified players in the data mining, data collection services and other computer-based services. Every company willing to cut down their costs regarding outsourcing data mining services and BPO data mining services will benefit from the companies offering data mining services in India. In addition, web research services are being sourced from the companies.

Outsourcing is a great way to reduce costs regarding labor, and companies in India will benefit from companies in India as well as from outside the country. The most famous aspect of outsourcing is data entry. Preference of outsourcing services from offshore countries has been a practice by companies to reduce costs, and therefore, it is not a wonder getting outsource data mining to India.

For companies which are seeking for outsourcing services such as outsource web data extraction, it is good to consider a variety of companies. The comparison will help them get best quality of service and businesses will grow rapidly in regard to the opportunities provided by the outsourcing companies. Outsourcing does not only provide opportunities for companies to reduce costs but to get labor where countries are experiencing shortage.

Outsourcing presents good and fast communication opportunity to companies. People will be communicating at the most convenient time they have to get the job done. The company is able to gather dedicated resources and team to accomplish their purpose. Outsourcing is a good way of getting a good job because the company will look for the best workforce. In addition, the competition for the outsourcing provides a rich ground to get the best providers.

In order to retain the job, providers will need to perform very well. The company will be getting high quality services even in regard to the price they are offering. In fact, it is possible to get people to work on your projects. Companies are able to get work done with the shortest time possible. For instance, where there is a lot of work to be done, companies may post the projects onto the websites and the projects will get people to work on them. The time factor comes in where the company will not have to wait if it wants the projects completed immediately.

Outsourcing has been effective in cutting labor costs because companies will not have to pay the extra amount required to retain employees such as the allowances relating to travels, as well as housing and health. These responsibilities are met by the companies that employ people on a permanent basis. The opportunity presented by the outsourcing of data and services is comfort among many other things because these jobs can be completed at home. This is the reason why the jobs will be preferred more in the future.

To increase business effectiveness, productivity and workflow, you need quality and accurate data entry system. this unrivaled quality is provided by Data extraction services which has excellent track record in providing quality services.


Source: http://ezinearticles.com/?Data-Mining-Services&id=4733707

Thursday, 20 June 2013

Has It Been Done Before? Optimize Your Patent Search Using Patent Scraping Technology

Has it been done before? Optimize your Patent Search using Patent Scraping Technology.

Since the US patent office opened in 1790, inventors across the United States have been submitting all sorts of great products and half-baked ideas to their database. Nowadays, many individuals get ideas for great products only to have the patent office do a patent search and tell them that their ideas have already been patented by someone else! Herin lies a question: How do I perform a patent search to find out if my invention has already been patented before I invest time and money into developing it?

The US patent office patent search database is available to anyone with internet access.

US Patent Search Homepage

Performing a patent search with the patent searching tools on the US Patent office webpage can prove to be a very time consuming process. For example, patent searching the database for "dog" and "food" yields 5745 patent search results. The straight-forward approach to investigating the patent search results for your particular idea is to go through all 5745 results one at a time looking for yours. Get some munchies and settle in, this could take a while! The patent search database sorts results by patent number instead of relevancy. This means that if your idea was recently patented, you will find it near the top but if it wasn't, you could be searching for quite a while. Also, most patent search results have images associated with them. Downloading and displaying these images over the internet can be very time consuming depending on you internet connection and the availability of the patent search database servers.

Because patent searches take such a long time, many companies and organizations are looking ways to improve the process. Some organizations and companies will hire employees for the sole purpose of performing patent searches for them. Others contract out the job to small business that specialize in patent searches. The latest technology for performing patent searches is called patent scraping.

Patent scraping is the process of writing computer automated scripts that analyze a website and copy only the content you are interested in into easily accessible databases or spreadsheets on your computer. Because it is a computerized script performing the patent search, you don't need a separate employee to get the data, you can let it run the patent scraping while you perform other important tasks! Patent scraping technology can also extract text content from images. By saving the images and textual content to your computer, you can then very efficiently search them for content and relevancy; thus saving you lots of time that could be better spent actually inventing something!

To put a real-world face on this, let us consider the pharmaceutical industry. Many different companies are competing for the patent on the next big drug. It has become an indispensible tactic of the industry for one company to perform patent searches for what patents the other companies are applying for, thus learning in which direction the research and development team of the other company is taking them. Using this information, the company can then choose to either pursue that direction heavily, or spin off in a different direction. It would quickly become very costly to maintain a team of researchers dedicated to only performing patent searches all day. Patent scraping technology is the means for figuring out what ideas and technologies are coming about before they make headline news. It is by utilizing patent scraping technology that the large companies stay up to date on the latest trends in technology.

While some companies choose to hire their own programming team to do their patent scraping scripts for them, it is much more cost effective to contract out the job to a qualified team of programmers dedicated to performing such services.


Source: http://ezinearticles.com/?Has-It-Been-Done-Before?-Optimize-Your-Patent-Search-Using-Patent-Scraping-Technology&id=171000

Wednesday, 19 June 2013

Offshore Data Entry Provides Unlimited Growth Opportunities


As the world becomes a smaller place, business relations between different countries continue to be one of the major cementing factors in maintaining international relations.
The ever expanding offshore data entry industry is one such field which provides ample scope for such business interactions between different nations. Currently, the rapidly developing countries such as India and China are important players and very much responsible for the expansion of the offshore data entry industry.

The term 'offshore' is used to describe the banks, investments, deposits and corporations that are situated in a foreign location. Such an organization generally moves to a foreign destination for the purpose of avoiding payment of taxes or ease of regulations as maybe the case. The corporations then outsource the services of an external organization in another offshore country that takes care of the data entry, data conversion, documentation, processing and such other services.

In today's industrial sector, the offshore data entry services is one of the fastest growing
industry. The reason for such phenomenal growth can be related to many advantages such as lower rates for the services offered, highly professional and efficient workforce, tailored solutions to cater to the clients need and the required skills to meet the specific requirements of the job.

The concept of data entry has also been revolutionized with the constant up-gradation and innovation in the digital world. Each and every multinational company requires accurate database and information to conduct its business efficiently and successfully. The offshore data entry industry has therefore gained tremendous importance due to this crucial database requirement. The offshore data entry company's efficient service of gathering, compiling, processing and providing a voluminous amount of data on a day to day basis to the multinational companies ensures its heavy demand in the global market.

The convenience of the internet provides the ideal facility for the online compilation and processing of the offshore data. Also in countries such as India and China the volume of such data entry work is very high and the rates thereby constantly sharpening the skills of the professionals while the rates are comparatively lower than the Western world. Hence these countries form a favorable destination for the offshore data entry industry. The UK, US, France and many more such countries now form a regular client base for the offshore data entry industry in India, China, etc.

The offshore data entry done by competent, computer savvy professionals ensure availability of accurate information that has been expertly processed and compiled. This data is a crucial management resource that enables optimum decision making by the multinational banks, corporations, institutions, etc. for whom the data is either a regular or a temporary requirement.

The general characteristics of an offshore data entry job are that the work has high amount of information content, can be done over the telephone and transmitted over the internet, is easy to set up and is repeatable in nature. The major wage difference between the countries also becomes an important deciding factor. Hence, as the need for accurate and relevant data continues to increase the offshore data entry industry will continue charter its expansion in the recent times.


Source: http://ezinearticles.com/?Offshore-Data-Entry-Provides-Unlimited-Growth-Opportunities&id=604549

Monday, 17 June 2013

Usefulness of Web Scraping Services

For any business or organization, surveys and market research play important roles in the strategic decision-making process. Data extraction and web scraping techniques are important tools that find relevant data and information for your personal or business use. Many companies employ people to copy-paste data manually from the web pages. This process is very reliable but very costly as it results to time wastage and effort. This is so because the data collected is less compared to the resources spent and time taken to gather such data.

Nowadays, various data mining companies have developed effective web scraping techniques that can crawl over thousands of websites and their pages to harvest particular information. The information extracted is then stored into a CSV file, database, XML file, or any other source with the required format. After the data has been collected and stored, data mining process can be used to extract the hidden patterns and trends contained in the data. By understanding the correlations and patterns in the data; policies can be formulated and thereby aiding the decision-making process. The information can also be stored for future reference.

The following are some of the common examples of data extraction process:

• Scrap through a government portal in order to extract the names of the citizens who are reliable for a given survey.
• Scraping competitor websites for feature data and product pricing
• Using web scraping to download videos and images for stock photography site or for website design

Automated Data Collection
It is important to note that web scraping process allows a company to monitor the website data changes over a given time frame. It also collects the data on a routine basis regularly. Automated data collection techniques are quite important as they help companies to discover customer trends and market trends. By determining market trends, it is possible to understand the customer behavior and predict the likelihood of how the data will change.

The following are some of the examples of the automated data collection:

• Monitoring price information for the particular stocks on hourly basis
• Collecting mortgage rates from the various financial institutions on the daily basis
• Checking on weather reports on regular basis as required

By using web scraping services it is possible to extract any data that is related to your business. The data can then be downloaded into a spreadsheet or a database for it to be analyzed and compared. Storing the data in a database or in a required format makes it easier for interpretation and understanding of the correlations and for identification of the hidden patterns.

Through web scraping it is possible to get quicker and accurate results and thus saving many resources in terms of money and time. With data extraction services, it is possible to fetch information about pricing, mailing, database, profile data, and competitors data on a consistent basis. With the emergence of professional data mining companies outsourcing your services will greatly reduce your costs and at the same time you are assured of high quality services.



Source: http://ezinearticles.com/?Usefulness-of-Web-Scraping-Services&id=7181014

Friday, 14 June 2013

Using Charts For Effective Data Mining


The modern world is one where data is gathered voraciously. Modern computers with all their advanced hardware and software are bringing all of this data to our fingertips. In fact one survey says that the amount of data gathered is doubled every year. That is quite some data to understand and analyze. And this means a lot of time, effort and money. That is where advancements in the field of Data Mining have proven to be so useful.

Data mining is basically a process of identifying underlying patters and relationships among sets of data that are not apparent at first glance. It is a method by which large and unorganized amounts of data are analyzed to find underlying connections which might give the analyzer useful insight into the data being analyzed.

It's uses are varied. In marketing it can be used to reach a product to a particular customer. For example, suppose a supermarket while mining through their records notices customers preferring to buy a particular brand of a particular product. The supermarket can then promote that product even further by giving discounts, promotional offers etc. related to that product. A medical researcher analyzing D.N.A strands can and will have to use data mining to find relationships existing among the strands. Apart from bio-informatics, data mining has found applications in several other fields like genetics, pure medicine, engineering, even education.

The Internet is also a domain where mining is used extensively. The world wide web is a minefield of information. This information needs to be sorted, grouped and analyzed. Data Mining is used extensively here. For example one of the most important aspects of the net is search. Everyday several million people search for information over the world wide web. If each search query is to be stored then extensively large amounts of data will be generated. Mining can then be used to analyze all of this data and help return better and more direct search results which lead to better usability of the Internet.

Data mining requires advanced techniques to implement. Statistical models, mathematical algorithms or the more modern machine learning methods may be used to sift through tons and tons of data in order to make sense of it all.

Foremost among these is the method of charting. Here data is plotted in the form of charts and graphs. Data visualization, as it is often referred to is a tried and tested technique of data mining. If visually depicted, data easily reveals relationships that would otherwise be hidden. Bar charts, pie charts, line charts, scatter plots, bubble charts etc. provide simple, easy techniques for data mining.

Thus a clear simple truth emerges. In today's world of heavy load data, mining it is necessary. And charts and graphs are one of the surest methods of doing this. And if current trends are anything to go by the importance of data mining cannot be undermined in any way in the near future.



Source: http://ezinearticles.com/?Using-Charts-For-Effective-Data-Mining&id=2644996

Wednesday, 12 June 2013

Assuring Scraping Success with Proxy Data Scraping

Have you ever heard of "Data Scraping?" Data Scraping is the process of collecting useful data that has been placed in the public domain of the internet (private areas too if conditions are met) and storing it in databases or spreadsheets for later use in various applications. Data Scraping technology is not new and many a successful businessman has made his fortune by taking advantage of data scraping technology.

Sometimes website owners may not derive much pleasure from automated harvesting of their data. Webmasters have learned to disallow web scrapers access to their websites by using tools or methods that block certain ip addresses from retrieving website content. Data scrapers are left with the choice to either target a different website, or to move the harvesting script from computer to computer using a different IP address each time and extract as much data as possible until all of the scraper's computers are eventually blocked.

Thankfully there is a modern solution to this problem. Proxy Data Scraping technology solves the problem by using proxy IP addresses. Every time your data scraping program executes an extraction from a website, the website thinks it is coming from a different IP address. To the website owner, proxy data scraping simply looks like a short period of increased traffic from all around the world. They have very limited and tedious ways of blocking such a script but more importantly -- most of the time, they simply won't know they are being scraped.

You may now be asking yourself, "Where can I get Proxy Data Scraping Technology for my project?" The "do-it-yourself" solution is, rather unfortunately, not simple at all. Setting up a proxy data scraping network takes a lot of time and requires that you either own a bunch of IP addresses and suitable servers to be used as proxies, not to mention the IT guru you need to get everything configured properly. You could consider renting proxy servers from select hosting providers, but that option tends to be quite pricey but arguably better than the alternative: dangerous and unreliable (but free) public proxy servers.

There are literally thousands of free proxy servers located around the globe that are simple enough to use. The trick however is finding them. Many sites list hundreds of servers, but locating one that is working, open, and supports the type of protocols you need can be a lesson in persistence, trial, and error. However if you do succeed in discovering a pool of working public proxies, there are still inherent dangers of using them. First off, you don't know who the server belongs to or what activities are going on elsewhere on the server. Sending sensitive requests or data through a public proxy is a bad idea. It is fairly easy for a proxy server to capture any information you send through it or that it sends back to you. If you choose the public proxy method, make sure you never send any transaction through that might compromise you or anyone else in case disreputable people are made aware of the data.

A less risky scenario for proxy data scraping is to rent a rotating proxy connection that cycles through a large number of private IP addresses. There are several of these companies available that claim to delete all web traffic logs which allows you to anonymously harvest the web with minimal threat of reprisal. Companies such as http://www.Anonymizer.com offer large scale anonymous proxy solutions, but often carry a fairly hefty setup fee to get you going.

The other advantage is that companies who own such networks can often help you design and implementation of a custom proxy data scraping program instead of trying to work with a generic scraping bot. After performing a simple Google search, I quickly found one company (www.ScrapeGoat.com) that provides anonymous proxy server access for data scraping purposes. Or, according to their website, if you want to make your life even easier, ScrapeGoat can extract the data for you and deliver it in a variety of different formats often before you could even finish configuring your off the shelf data scraping program.

Whichever path you choose for your proxy data scraping needs, don't let a few simple tricks thwart you from accessing all the wonderful information stored on the world wide web!



Source: http://ezinearticles.com/?Assuring-Scraping-Success-with-Proxy-Data-Scraping&id=248993

Monday, 10 June 2013

Data Mining's Importance in Today's Corporate Industry

A large amount of information is collected normally in business, government departments and research & development organizations. They are typically stored in large information warehouses or bases. For data mining tasks suitable data has to be extracted, linked, cleaned and integrated with external sources. In other words, it is the retrieval of useful information from large masses of information, which is also presented in an analyzed form for specific decision-making.

Data mining is the automated analysis of large information sets to find patterns and trends that might otherwise go undiscovered. It is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, telecommunications and so on. Data Mining is based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

It can be technically defined as the automated mining of hidden information from large databases for predictive analysis. Web mining requires the use of mathematical algorithms and statistical techniques integrated with software tools.

Data mining includes a number of different technical approaches, such as:

    Clustering
    Data Summarization
    Learning Classification Rules
    Finding Dependency Networks
    Analyzing Changes
    Detecting Anomalies

The software enables users to analyze large databases to provide solutions to business decision problems. Data mining is a technology and not a business solution like statistics. Thus the data mining software provides an idea about the customers that would be intrigued by the new product.

It is available in various forms like text, web, audio & video data mining, pictorial data mining, relational databases, and social networks. Data mining is thus also known as Knowledge Discovery in Databases since it involves searching for implicit information in large databases. The main kinds of data mining software are: clustering and segmentation software, statistical analysis software, text analysis, mining and information retrieval software and visualization software.

Data Mining therefore has arrived on the scene at the very appropriate time, helping these enterprises to achieve a number of complex tasks that would have taken up ages but for the advent of this marvelous new technology.

Our web research provides detailed information on data mining, business intelligence data mining, web data mining, online data research, web research services. We will closely work with you; we guarantee clear, focused and relevant information that meets your specifications. If you want to know about our web research services, please visit us: http://www.outsourcingwebresearch.com.


Source: http://ezinearticles.com/?Data-Minings-Importance-in-Todays-Corporate-Industry&id=2057401

Thursday, 6 June 2013

Internet Data Mining - How Does it Help Businesses?


Internet has become an indispensable medium for people to conduct different types of businesses and transactions too. This has given rise to the employment of different internet data mining tools and strategies so that they could better their main purpose of existence on the internet platform and also increase their customer base manifold.

Internet data-mining encompasses various processes of collecting and summarizing different data from various websites or webpage contents or make use of different login procedures so that they could identify various patterns. With the help of internet data-mining it becomes extremely easy to spot a potential competitor, pep up the customer support service on the website and make it more customers oriented.

There are different types of internet data_mining techniques which include content, usage and structure mining. Content mining focuses more on the subject matter that is present on a website which includes the video, audio, images and text. Usage mining focuses on a process where the servers report the aspects accessed by users through the server access logs. This data helps in creating an effective and an efficient website structure. Structure mining focuses on the nature of connection of the websites. This is effective in finding out the similarities between various websites.

Also known as web data_mining, with the aid of the tools and the techniques, one can predict the potential growth in a selective market regarding a specific product. Data gathering has never been so easy and one could make use of a variety of tools to gather data and that too in simpler methods. With the help of the data mining tools, screen scraping, web harvesting and web crawling have become very easy and requisite data can be put readily into a usable style and format. Gathering data from anywhere in the web has become as simple as saying 1-2-3. Internet data-mining tools therefore are effective predictors of the future trends that the business might take.


Source: http://ezinearticles.com/?Internet-Data-Mining---How-Does-it-Help-Businesses?&id=3860679

Tuesday, 4 June 2013

“Screen-scraped” bank feeds are unreliable and inaccurate

Many business owners use cloud accounting solutions and benefit from daily bank-feeds, a feature where bank transactions are automatically imported and matched to the correct accounts in their accounting software. Bank feeds remove both the tedious task of …1 May 2013

MYOB warns “screen-scraped” bank feeds are unreliable and inaccurate

Many business owners use cloud accounting solutions and benefit from daily bank-feeds, a feature where bank transactions are automatically imported and matched to the correct accounts in their accounting software. Bank feeds remove both the tedious task of data entry and the challenge of correctly allocating numerous transactions in the bank reconciliation process. However MYOB warns bank feeds services from some software providers may be unreliable and inaccurate.

MYOB General Manager, User Experience and Design, Ben Ross, says the company is committed to providing reliable, accurate data and maintaining rigorous standards of security when managing financial data.

“At MYOB, we understand that reliable access to accurate data is absolutely fundamental for our customers. Automatically importing transaction details into MYOB accounting solutions significantly reduces manual data entry, improves accuracy and saves both time and money,” he says.

Mr Ross explains that it is important for business owners to understand exactly how their accounting software accesses their sensitive banking information, and whether that access is authorised by their banks online terms and conditions.

“There are several ways that accounting service providers can access aggregated bank transaction data and unfortunately some software providers play fast and loose with data quality and customer security,” he says.

MYOB uses a bank-authorised data collection system provided by BankLink for its LiveAccounts and AccountRight Live products. In this process, BankLink supplies secure bank transaction data via direct feeds from financial institutions without needing to disclose logon details. The data is supplied in a secure, ‘read only’ format. The entire process complies with the stringent Payment Card Industry Data Security Standard for the safe handling of transaction data and meets the requirements of more than 100 financial institutions.

“MYOB chose to work with BankLink for its proven reliability, security and coverage of feeds from financial institutions across Australia. BankLink has a team of data accuracy specialists reviewing bank data feeds using processes they have refined over their 25 years of providing this service. For this reason, BankLink feeds are 99.9999% accurate and in some cases, more reliable than the bank’s own raw feeds,” says Mr Ross.

BankLink applies a series of proprietary, data validation routines to all bank transactions that identify and correct any anomalies in the data. This sophisticated error detection system results in a significant increase in data accuracy. Furthermore, BankLink’s direct contractual relationship with the banks means that they have protocols in place to fix any errors promptly without any interruption to service.

Some cloud accounting providers use a method commonly called “screen-scraping”. This process requires a business owner to disclose their internet banking username and password to a third party ‘screen-scraper’. This third party then automatically logs in to the business’s internet banking account at regular intervals, copies their transactions and supplies them to their accounting services provider.

The screen-scraping process may contravene internet banking terms and conditions.

“Most online banking terms and conditions forbid the disclosure of login and password details to any party, and exclude the bank from liability for any fraud which may then occur on the account – whether or not the fraud is related to the actions of the screen-scraper. We caution users of other software against passing on their online banking credentials through to third parties in return for bank feeds that are insecure and contain inaccuracies,” says Mr Ross.

Along with the potential security risks, screen-scraping can also be unreliable as the third party isn’t working directly with the banks. Not surprisingly, this lack of reliability can lead to frustration for accountants, bookkeepers and business owners.

“The concern for business owners is in the accuracy of their business financials. Even if only two in every hundred transactions are wrong, how do you know which two? That adds in a whole lot of extra work that undermines the original time saving benefit of the bank feed system.”

According to Debbie Vihi, owner of Mobile Bookkeeping Services, the bank feeds associated with some cloud accounting packages that use a third party or ‘screen scraping’ can be both unreliable and inaccurate. This makes it time consuming to reconcile a client’s banks accounts.

“I was reconciling a client’s accounts when I noticed that the software had duplicated transactions. The client often had a lot of similar amounts coming out of their bank account so the double ups were not picked up — they were mainly related to credit cards,” she says.

“What was usually a five minute job turned out to be quite time consuming. I had to take a million steps backwards and had to manually tick the statements off against the correct transactions,” says Ms Vihi.

Fortunately for accountants, bookkeepers and business owners who want to enjoy the time and cost benefits of bank feeds, MYOB’s provider BankLink offers both an accurate and more reliable alternative to screen-scraping.

“For anyone using cloud accounting, accurate bank feeds can be a real time-saver, inaccurate bank feeds can be a nightmare. To ensure you are getting accurate, reliable data in a way that doesn’t contravene your bank’s terms and conditions, it’s important to understand how your cloud accounting provider obtains its bank feeds. Users should check that they haven’t inadvertently supplied a third party with their banking login in details and ask their provider what industry standards their third party supplier complies with,” says Mr Ross.


Source: http://business.scoop.co.nz/2013/05/01/screen-scraped-bank-feeds-are-unreliable-and-inaccurate/