Web Based Data Mining

Data mining is the process of using certain algorithms, software and tools to win, collecting, analyzing and communicating information (known as predictive analytics) from a large pool of data. Data mining is very useful nowadays when information is available in abundance. The information obtained by data mining is used for various applications of decision making in direct marketing, e-commerce, customer relationship management, healthcare, oil and gas, scientific tests, genetics, telecommunications, financial services and utilities.

Web Data mining is the process of extracting data from the World Wide Web. The Internet has much information about what actually can be used to make intelligent decisions. However, collecting and sifting through these huge databases is a difficult task. Therefore, some data mining tools that make this easier. The tools can capture relevant data and interpret them as needed.

There are different types of Web data mining: mining type, control data and the operation order. Products Web data mining can perform a wide range of functions, including: search engine optimization and website promotion, several transformations and modular marketing metrics for CRM, web log reporting, monitoring profiles of site visitors, the proportions of the conversion of visitors the behavior of online customers, the analysis of click-through, allowing real-time analysis of log tracking the campaign, click paths, geographical location, keywords, web visitor analysis reports, content analysis, extract Web events like the results of the campaign, web traffic, etc.

There are several commercially available Web data mining and web applications using available software mines. Some of them are: alter wind Log Analyzer Professional Amadea web mining, Angos KnowledgeWebMiner, Azure Web Log Analyzer, Blue Martini Customer Interaction System Micro Marketing module, ClickTracks, conversion track Antssoft, Datanautics (formerly Accrue) eNuggets (in real-time middleware) DeepMetrix LiveStats, Megaputer WebAnalyst, MicroStrategy Web Traffic Analysis Module, Web Analytics NetGenesis, family NetTracker, Nihuo Web Log Analyzer, prudsys ECOMMINER, WebHound SAS, SPSS Web Mining for Clementine, weblog expert 2.0 for Windows, WebTrends, a suite for data mining information on web traffic, XAffinity (TM), XML 123LogAnalyzer Miner. There are also free versions of software such as Web Data Mining: Wind alter Log Analyzer Lite, analog (by Dr. Stephen Turner), guest and WUM (use Web Miner).

Data Mining provides detailed information on Data Mining, Data Mining Tutorials, Business Intelligence Data Mining, Web Data Mining and much more. Data Mining is affiliated with Offshore data entry.


Rita Thomson is passionate about to writing on data entry, data entry outsourcing, data conversion, data entry uk, data mining, data extraction etc.