Web Data Mining

Data mining is the process of using certain algorithms, software and tools to retrieve, collect, analyze and communicate information (also known as predictive analysis) from a huge pool of data. Data mining is extremely useful in these days where information is abundant. Information obtained for various mining applications for decision making in direct marketing, e-commerce, customer relationship management, health, oil and gas industry, used scientific tests,Genetics, telecommunications, financial services and utilities.

Web Data Mining is the process of automatic extraction of data from the World Wide Web Internet has extensive information about everything that can be used effectively to make intelligent decisions. However, recovery and assess how massive database is a challenging task. Therefore, there are some tools to help extract the data to facilitate this. The tools can identify the relevant data and interpret them asRequirements.

There are many types of Web data mining: Standard extraction, mining and review of users. Web Data Mining products are of a very wide range of functions including: search engines and website promotion, marketing modular transformations and several indicators for CRM, web log reporting, tracking pattern visitors to Web sites that calculate the exchange visitor ratios, reporting, analysis online customer behavior, click-through rates, availability of real-time logAnalysis of campaign tracking, click paths, geographical identification, search engine keywords, visitor reports web analysis, content analysis, web extract events as the results of campaigns, web traffic, etc.

There are several commercially available Web mining and Web usage mining software applications. Some of them are: AlterWind Log Analyzer Professional Amadea Web Mining, ANGOSS KnowledgeWebMiner, Azure Web Log Analyzer, Blue Martini Customer Interaction System MicroMarketing module, ClickTracks, track conversion from AntsSoft, Datanautics (ex Accrue) eNuggets (real-time middleware) from DeepMetrix LiveStats, Megaputer WebAnalyst, MicroStrategy Web Traffic Analysis Module, NetGenesis Web Analytics NetTrack family 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 of information XAffinity Web Traffic (TM), XML Miner123LogAnalyzer. There are also free versions of software, Web mining, including: age Wind Log Analyzer Lite, analog (Dr. Stephen Turner), visitors and wum (Web Utilization Miner).