GPS Navigation Systems and Data Problems

We have a serious problem brewing with GPS navigation systems for automobiles and even motorcycles. There are however problems with this devise as a high tech toy are more serious than you might think. Ask anyone in a metro area who has bought a new car with one of those cool GPS upgrades for their SUV or new sports car. We have had our customers complain (customers of the carwash business, which is my profession). Oh they love the gadget, but they are under whelmed by the lack of data and streets, which are not listed. You see we have been seeing incredible suburban growth in many cities. Places near large DMA metros are a problem out in the middle class suburbs. In many areas such as outside Chicago, Los Angeles, San Diego, Phoenix, Las Vegas, Seattle, Portland, Denver, Dallas, Houston, Austin, San Antonio, Nashville, Kansas City, Minneapolis, Columbus, Cleveland, Baltimore, Jacksonville, Tampa Bay, Miami, Orlando, Atlanta, DC Subs, etc. And in NJ, NC, NV, OH lots of other fast growing growth pockets.

When GPS devises for cars first hit the scenes at the CES and SEMA shows in 1996, they became increasingly more popular, powerful and better data. But like VHS and Beta, Apple and IBM, competition became increasingly greater causing much consolidation in the industry along with patent fights. Much of the technology was former Defense Contractors peddling their wares through subsidiary consumer level companies. But the tight market remained due to the costs. Meanwhile companies like DeLorme and others tried to flood the market with low priced GPS units, which made things even more competitive. And the bugs were not fully out of the system yet. Someday all cars will drive themselves and people can watch TV, do video conferencing and use their transportation as a portable office or entertainment system while they are being driven to the location they have punched into their computer. Some things will have to occur before this is a reality of course. But eventually your dexterity skills to actually pilot a car will be worthless and un-needed.

First the satellites will need to be laser aligned and use multiple satellites to get absolute locations of ground items and vehicles. The cars will need to have additional anti collision devises made up of networked sonar and optic flow sensors. All of which are now available and the technology is getting better and better. Many military applications today will be civilian tomorrow. Just like Radar, Microwave ovens, Nuclear Energy, Cellular Phones, Satellite Communication and Jet Aircraft in Commercial Aviation. The flow of transportation will be brought to the next generation to serve man better.

For the time being the incremental changes in these technologies has hit a slight road block even though Honda, GM, Ford, Mercedes, Daimler Chrysler and Toyota have invested billions in anti-collision and safety devices which they will add comfort and desirable options which they can sell to customers as upgrades. Smart Car Technologies can add Thousands of Dollars to the price of a car and consumers are glad to pay for them. A factory GPS system with display can cost up to $6,000.00 and they sell a lot of them on the higher end cars. It is a high profit item upgrade, although there are some, which only cost $1000. And if you wish to compare these, some are very incredible with many features;

[http://www.gpsnuts.com/myGPS/GPS/review%20...he%20review.htm] .

There are many companies, which sell after market computer assist items. These companies are doing quite well and the systems work great. The big issue is just because you have a super duper incredible GPS system, does not mean the street you are looking for is even on the map yet. In other words it is like using an old map. If you are a studier of maps like I happen to be, you will see the problem with older maps. Even some companies keep printing old map data year after year without adding in new on ramps, city streets, infrastructure freeway improvements and ring-roads, it is aggravating for those from out of town. Even more aggravating looking for an address or street in a new housing tract, which you can see but the devise insists, does not exist? Then there are problems in areas like Cape Coral, FL and Tehachapi, CA or El Paso, TX and Knoxville, TN where the roads have been scraped and ready to put in or put in but do not connect or have nothing there yet. Of course it is very aggravating to see a road and try to go down it and find it is a dirt road that connects to nothing yet or an entire sub-division that does not exist? Is it a Mirage? If so where is the white Tiger Show?

Jack Dangermond of ESRI had set up entire networks of software makers who developed data for their awesome software products for GPS and GIS needs. Used by government, military, utility companies, transportation companies, private companies with GPS units to sell to the public, First Responders and school districts for buses. After the Dot Com crash those software companies were among some of the survivors, but had significantly cut costs. Thus without the proper data the GPS systems bought by the upper, upper-middle and middle class for their cars were not always good enough to support the price point for the newest technology. This is especially upsetting since the upper, upper-middle and middle class citizens who pay the most taxes live in the suburbs for the most part. The chances of a middle class American; who bought a home during the 3 years last housing boom; not being able to find their house or street on their new GPS devise is a higher probability then them actually finding it. We interviewed one man who bought a new Nissan Sports car.

Who lives in a newer developed area in the higher end Las Vegas, Clark County Suburbs, which only had the main streets on his GPS and had huge blank spots on his device? Some GPS devices allow the user to choose a satellite vendor and data vendor and software, but many of the Factory units do not. People think they are getting something really good and then find they cannot use it to navigate, which would really piss you off considering you may have paid as much as $6,000 for the unit. Even more dangerous is the information we learned from an EMT ambulance driver in Dallas area who told us of looking for streets for 15-20 minutes after battling through suburban gridlock to get to where they thought it might be. 3G cell phone technology may assist for those using cell phones to call in data to the dispatches. For all the training we are doing across this nation for first responders and on-going education of police, fire, Hazmat, etc. it appears that we have forgotten the problems of the system. Any time you build a system to serve humankind you must make it simple and make it work, that should be the first, the very first priority, then you can fix all the other issues.

With that said we interviewed a lady recently one evening who had a hell of a long day working for the Metro Police Departments Central Nervous System. The communications center and dispatch is to what we are referring. Although she was unaware of the problem at the center for bad data or missing data in the system, she could not say how they were able to get the information. Luckily serving a metro area they are probably connected to the planning departments computer, which they should be. And if the police department has the new data and no problem in this case, why have the software vendors not been able to access the data? It is a safety issue if someone with a GPS system pulls out a map and tries to read it while driving in an area they are not familiar with. It is guaranteed that in the history of the automobile in this country more people have been in serious traffic accidents from trying to read maps, than talking on cell phones, although cell phones no doubt a contributing factor in many lesser accidents will eventually pass this figure. Where the streets are, well frankly I cannot understand the need to keep this a secret unless it is the layout of Area 51, Prison, Power plant, Pentagon grounds, Military Bases, etc. If the emergency first responders divisions and contractors would share the data, there might be less accidents and they maybe able to get some assistance from the public being the eyes and ears

http://www.lancewinslow.org/nmwp.shtml

and also perhaps they could in fact use the idea of Smart Virtual Mobile Communities or FlashMob scenarios since budgets are strapped as the National Security “Red-Orange-Yellow-High-Risk-Danger-Days” come with high frequency, more police and first responders are on duty and that costs money. Without significant inflows the coverage of the Grid of a city is in jeopardy of slower response times. Fast response times are the easiest way to keep the peace, everyone, which gets away can cause problems another day and of course in case of International Terrorist Attacks.

It is essential to have the data for these devises and everyone is better served when communication flows. GPS units provide that and the data should be readily available and probably it is best to have the cities using the same formats as first responders and the same data can be used for utilities, consumers, military and even census data or academia studying urban sprawl and growth rates to have infrastructures ready during expansion. Things like water and energy, which has obviously been a major focus here.

There needs to be a nationwide coordinated effort to see that such data is filtered into the private sector, because as it stand the companies have been hammered in the industry and cannot perform the services to bring this stuff to market. Communication is important for government and citizen a like, increased efficiencies in business will save the government money and provide additional tax base and funds on the income of such businesses utilizing such data, as well as save money and time for all the government services discussed above. If we want a screaming economy we ought to be thinking how we can streamline and accelerate the flow of information to increase efficiencies and allow a small portion of the gain from the expanded pie to continue the growth. In other words, we make it easier for the Florist to deliver, the school buses to pick up more kids per hour and the soccer mom to take more kids to practice and still have time left to shop all of which serves man. The digital GIS divide is as important for our economy as the Digital Internet Divide. Kids in sports do less drugs, become more competitive, have higher work ethics and soccer moms can help keep the retail economy going. Every time you ease the flow, more things are possible. The exponential increase in American productivity is needed to offset the time lost in traffic and congestion. GIS-GPS systems can help in any emergency or simply driving around town getting things done to check off one’s list for the day.


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Basics of Web Data Mining and Challenges in Web Data Mining Process

Today World Wide Web is flooded with billions of static and dynamic web pages created with programming languages such as HTML, PHP and ASP. Web is great source of information offering a lush playground for data mining. Since the data stored on web is in various formats and are dynamic in nature, it's a significant challenge to search, process and present the unstructured information available on the web.

Complexity of a Web page far exceeds the complexity of any conventional text document. Web pages on the internet lack uniformity and standardization while traditional books and text documents are much simpler in their consistency. Further, search engines with their limited capacity can not index all the web pages which makes data mining extremely inefficient.

Moreover, Internet is a highly dynamic knowledge resource and grows at a rapid pace. Sports, News, Finance and Corporate sites update their websites on hourly or daily basis. Today Web reaches to millions of users having different profiles, interests and usage purposes. Every one of these requires good information but don't know how to retrieve relevant data efficiently and with least efforts.

It is important to note that only a small section of the web possesses really useful information. There are three usual methods that a user adopts when accessing information stored on the internet:

• Random surfing i.e. following large numbers of hyperlinks available on the web page.
• Query based search on Search Engines - use Google or Yahoo to find relevant documents (entering specific keywords queries of interest in search box)
• Deep query searches i.e. fetching searchable database from eBay.com's product search engines or Business.com's service directory, etc.

To use the web as an effective resource and knowledge discovery researchers have developed efficient data mining techniques to extract relevant data easily, smoothly and cost-effectively.


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Accelerating Accumulated Data Mining

We all have heard of Data Mining and we have all seen the abilities it can produce, but we also know how tedious the collection of data can be. It is the same for a little small company with a few customers as it is for a large company with millions of customers. Additionally how do you keep your data safe?

We have all heard of Identity Theft and the importance of secure data. But just because we have spent millions of dollars in IT work does not mean we know it is accurate? Things change fast you see; people get new telephone numbers, change addresses and jobs at least one of the three every three years. The chances of any database having accurate information is simply not possible.

Thus if we are data mining we need a way to verify which data sets are accurate and believe it or not the last set of data may not be the most accurate therefore we cannot simply discard the old data for the new data you see? We need ways to accelerate the accumulated data so we can run through it as fast as possible yet we must insure that our data mining techniques are taking into consideration miss matched data and incorrect data, along with inaccurate data.



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Data Management Services

In recent studies it has been revealed that any business activity has astonishing huge volumes of data, hence the ideas has to be organized well and can be easily gotten when need arises. Timely and accurate solutions are important in facilitating efficiency in any business activity. With the emerging professional outsourcing and data organizing companies nowadays many services are offered that matches the various kinds of managing the data collected and various business activities. This article looks at some of the benefits that accrue of offered by the professional data mining companies.

Entering of data

These kinds of services are quite significant since they help in converting the data that is needed in high ideal and format that is digitized. In internet some of this data can found that is original and handwritten. In printed paper documents and or text are not likely to contain electronic or needed formats. The best example in this context is books that need to be converted to e-books. In insurance companies they also depend on this process in processing the claims of insurance and at the same time apply to the law firms that offer support to analyze and process legal documents.

EDC

That is referred to as electronic data. This method is mostly used by clinical researchers and other related organization in medical. The electronic data and capture methods are used in the utilization in managing trials and research. The data mining and data management services are given in upcoming databases for studies. The ideas contained can easily be captured, other services being done and the survey taken.

Data changing

This is the process of converting data found in one format to another. Data extraction process often involves mining data from an existing system, formatting it, cleansing it and can be installed to enhance both availability and retrieving of information easily. Extensive testing and application are the requirements of this process. The service offered by data mining companies includes SGML conversion, XML conversion, CAD conversion, HTML conversion, image conversion.

Managing data service

In this service it involves the conversion of documents. It is where one character of a text may need to be converted to another. If we take an example it is easy to change image, video or audio file formats to other applications of the software that can be played or displayed. In indexing and scanning is where the services are mostly offered.

Data extraction and cleansing

Significant information and sequences from huge databases and websites extraction firms use this kind of service. The data harvested is supposed to be in a productive way and should be cleansed to increase the quality. Both manual and automated data cleansing services are offered by data mining organizations. This helps to ensure that there is accuracy, completeness and integrity of data. Also we keep in mind that data mining is never enough.

Web scraping, data extraction services, web extraction, imaging, catalog conversion, web data mining and others are the other management services offered by data mining organization. If your business organization needs such services here is one that can be of great significance that is web scraping and data mining


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Top Data Mining Tools

Data mining is important because it means pulling out critical information from vast amounts of data. The key is to find the right tools used for the expressed purposes of examining data from any number of viewpoints and effectively summarize it into a useful data set.

Many of the tools used to organize this data have become computer based and are typically referred to as knowledge discovery tools.

Listed below are the top data mining tools in the industry:

    Insightful Miner - This tool has the best selection of ETL functions of any data mining tool on the market. This allows the merging, appending, sorting and filtering of data.
    SQL Server 2005 Data Mining Add-ins for Office 2007 - These are great add-ins for taking advantage of SQL Server 2005 predictive analytics in Office Excel 2007 and Office Visio 2007. The add-ins Allow you to go through the entire development lifecycle within Excel 2007 by using either a spreadsheet or external data accessible through your SQL Server 2005 Analysis Services instance.
    Rapidminder - Also known as YALE is a pretty comprehensive and arguably world-leading when it comes to an open-source data mining solution. it is widely used from a large number of companies an organizations. Even though it is open-source, this tool, out of the box provides a secure environment and provides enterprise capable support and services so you will not be left out in the cold.

The list is short but ever changing in order to meet the increasing demands of companies to provide useful information from years of data.

TonyRocks.com in Pittsburgh Pennsylvania is one of only a few companies in the region that offer data tools an strategies.

They also keep a nice and updated list of the the latest on new tools in integration strategies for your organization.


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PDF Scraping: Making Modern File Formats More Accessible

Data scraping is the process of automatically sorting through information contained on the internet inside html, PDF or other documents and collecting relevant information to into databases and spreadsheets for later retrieval. On most websites, the text is easily and accessibly written in the source code but an increasing number of businesses are using Adobe PDF format (Portable Document Format: A format which can be viewed by the free Adobe Acrobat software on almost any operating system. See below for a link.). The advantage of PDF format is that the document looks exactly the same no matter which computer you view it from making it ideal for business forms, specification sheets, etc.; the disadvantage is that the text is converted into an image from which you often cannot easily copy and paste. PDF Scraping is the process of data scraping information contained in PDF files. To PDF scrape a PDF document, you must employ a more diverse set of tools.

There are two main types of PDF files: those built from a text file and those built from an image (likely scanned in). Adobe's own software is capable of PDF scraping from text-based PDF files but special tools are needed for PDF scraping text from image-based PDF files. The primary tool for PDF scraping is the OCR program. OCR, or Optical Character Recognition, programs scan a document for small pictures that they can separate into letters. These pictures are then compared to actual letters and if matches are found, the letters are copied into a file. OCR programs can perform PDF scraping of image-based PDF files quite accurately but they are not perfect.

Once the OCR program or Adobe program has finished PDF scraping a document, you can search through the data to find the parts you are most interested in. This information can then be stored into your favorite database or spreadsheet program. Some PDF scraping programs can sort the data into databases and/or spreadsheets automatically making your job that much easier.

Quite often you will not find a PDF scraping program that will obtain exactly the data you want without customization. Surprisingly a search on Google only turned up one business, (the amusingly named ScrapeGoat.com http://www.ScrapeGoat.com) that will create a customized PDF scraping utility for your project. A handful of off the shelf utilities claim to be customizable, but seem to require a bit of programming knowledge and time commitment to use effectively. Obtaining the data yourself with one of these tools may be possible but will likely prove quite tedious and time consuming. It may be advisable to contract a company that specializes in PDF scraping to do it for you quickly and professionally.

Let's explore some real world examples of the uses of PDF scraping technology. A group at Cornell University wanted to improve a database of technical documents in PDF format by taking the old PDF file where the links and references were just images of text and changing the links and references into working clickable links thus making the database easy to navigate and cross-reference. They employed a PDF scraping utility to deconstruct the PDF files and figure out where the links were. They then could create a simple script to re-create the PDF files with working links replacing the old text image.

A computer hardware vendor wanted to display specifications data for his hardware on his website. He hired a company to perform PDF scraping of the hardware documentation on the manufacturers' website and save the PDF scraped data into a database he could use to update his webpage automatically.

PDF Scraping is just collecting information that is available on the public internet. PDF Scraping does not violate copyright laws.

PDF Scraping is a great new technology that can significantly reduce your workload if it involves retrieving information from PDF files. Applications exist that can help you with smaller, easier PDF Scraping projects but companies exist that will create custom applications for larger or more intricate PDF Scraping jobs.


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Importance of Data Mining Services in Business

Data mining is used in re-establishment of hidden information of the data of the algorithms. It helps to extract the useful information starting from the data, which can be useful to make practical interpretations for the decision making.
It can be technically defined as automated extraction of hidden information of great databases for the predictive analysis. In other words, it is the retrieval of useful information from large masses of data, which is also presented in an analyzed form for specific decision-making. Although data mining is a relatively new term, the technology is not. It is thus also known as Knowledge discovery in databases since it grip searching for implied information in large databases.
It is primarily used today by companies with a strong customer focus - retail, financial, communication and marketing organizations. It is having lot of importance because of its huge applicability. It is being used increasingly in business applications for understanding and then predicting valuable data, like consumer buying actions and buying tendency, profiles of customers, industry analysis, etc. It is used in several applications like market research, consumer behavior, direct marketing, bioinformatics, genetics, text analysis, e-commerce, customer relationship management and financial services.

However, the use of some advanced technologies makes it a decision making tool as well. It is used in market research, industry research and for competitor analysis. It has applications in major industries like direct marketing, e-commerce, customer relationship management, scientific tests, genetics, financial services and utilities.

Data mining consists of major elements:

    Extract and load operation data onto the data store system.
    Store and manage the data in a multidimensional database system.
    Provide data access to business analysts and information technology professionals.
    Analyze the data by application software.
    Present the data in a useful format, such as a graph or table.

The use of data mining in business makes the data more related in application. There are several kinds of data mining: text mining, web mining, relational databases, graphic data mining, audio mining and video mining, which are all used in business intelligence applications. Data mining software is used to analyze consumer data and trends in banking as well as many other industries.


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Limitations and Challenges in Effective Web Data Mining

Web data mining and data collection is critical process for many business and market research firms today. Conventional Web data mining techniques involve search engines like Google, Yahoo, AOL, etc and keyword, directory and topic-based searches. Since the Web's existing structure cannot provide high-quality, definite and intelligent information, systematic web data mining may help you get desired business intelligence and relevant data.

Factors that affect the effectiveness of keyword-based searches include:
• Use of general or broad keywords on search engines result in millions of web pages, many of which are totally irrelevant.
• Similar or multi-variant keyword semantics my return ambiguous results. For an instant word panther could be an animal, sports accessory or movie name.
• It is quite possible that you may miss many highly relevant web pages that do not directly include the searched keyword.

The most important factor that prohibits deep web access is the effectiveness of search engine crawlers. Modern search engine crawlers or bot can not access the entire web due to bandwidth limitations. There are thousands of internet databases that can offer high-quality, editor scanned and well-maintained information, but are not accessed by the crawlers.

Almost all search engines have limited options for keyword query combination. For example Google and Yahoo provide option like phrase match or exact match to limit search results. It demands for more efforts and time to get most relevant information. Since human behavior and choices change over time, a web page needs to be updated more frequently to reflect these trends. Also, there is limited space for multi-dimensional web data mining since existing information search rely heavily on keyword-based indices, not the real data.

Above mentioned limitations and challenges have resulted in a quest for efficiently and effectively discover and use Web resources. Send us any of your queries regarding Web Data mining processes to explore the topic in more detail.



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What is Data Mining?

Data mining is the process in which there is analysis of data forming different angles and perspectives and summarizing the same data into the relevant information. This kind of information could be utilized to increase the revenue, cutting the costs or both.

Software is mainly used for analyzing data and also assists in accumulation of data for the different sources and categorize and summarize the given data into some useful form.

Though the data mining is new term, the software used for mining the data was previously used. With the constant upgradations of the software and the processing power, the market tools, data mining software has increased in its accuracy. Formerly, this data mining was widely used by the businessmen for the market research and the analysis. There were few companies that used the computers to examine through the column of the supermarket data.

The data mining is the technique of running the data through the sophisticated algorithms for discovering the meaningful correlations and patterns that would have otherwise remained hidden. It is very helpful, since it aids in understanding the techniques and methods of business and you can accordingly apply your own intelligence fitting in the current market trend. Even the future performances get enhanced by the predictive analysis.

Business Intelligence operations occur in the background. Users of the mining operation can just see the end result. The users are in apposition to get the results through the mails and can also go through the recommendation through web pages and emails.

The data mining process indicates the invention of trends and tactics. The moment you discover and understand the market trends, you have the knowledge of which article is sold more and which article is sold with the other one. This kind of tend has an enormous impact on business organization. In this manner, the business gets enhanced as the market gets analyzed in a perfect manner. Due to these correlations, the performance of business organization increases to a lot of extent.

Mining gives a chance or opportunity to enhance the future performance of the business organization. There is a common philosophical phrase that, 'he who does not learn from the history is destined to repeat the same'. Therefore, if these predictions are done with the help and assistance of the historical information (data), then you can get sufficient data for improvising the products of the business organization.

Mining enables the embedding of the recommendations in the applications. Simple summary statements and the proposals can be displayed within the operational applications. Data mining also needs powerful machines. The algorithms might be applied to a Java or a Dataset code for using the same. Data mining is very useful for knowing the trends and making future predictions based on the predictive analysis. It also helps in cost cutting and increase in the revenue of the business organization



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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

Data Mining

Data Mining is defined as the extraction of required information or knowledge from large databases. This is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. The tools related to this new technology predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analysis offered by data mining move beyond the analysis of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. This new technology takes the process of knowledge and information acquisition beyond retrospective data access and navigation to prospective and proactive information delivery.

The Technology derives its name from the similarities between searching for valuable business information in a large database and mining a mountain for a vein of valuable ore. Both processes require either sifting through an immense amount of material, or intelligently probing it to find exactly where the value resides. Data mining automates the process of finding predictive information in large databases. Data mining tools sweep through databases and identify previously hidden patterns in one step. Data mining techniques can yield the benefits of automation on existing software and hardware platforms, and can be implemented on new systems as existing platforms are upgraded and new products developed.. Powerful systems for collecting data and managing it in large databases are in place in all large and mid-range companies.

Data Mining is predicted to be amongst the top five technologies of the world that are poised for fantastic growth and development in the next five years. Data Mining today assumes importance and significance because of the increasing thrust on knowledge and information which is an essential factor in successfully running ebusiness. Data Mining cannot replace completely human analysis and interaction. But it can greatly assist human intellect to take well thought out decisions through fast computing capabilities and through pinpointing thrust areas of the concerned business.

Data Mining is considered as the new thrust area technology, the blue-eyed boy of the ebusiness world, with great scope for expansion beyond the present day horizons of the e enterprises. Data is vital to the growth of ebusiness. And getting the right data at the right time is the crux of good business sense. Growth of web enterprises is dependent solely on knowledge and information processing. 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.


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