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subject: What Is Web Data Mining Service? [print this page]


Hidden information from data mining algorithms using retrieved data. Large masses of data mining that business decisions can be used to make practical interpretations helps to retrieve useful informative. Data mining is also Knowledge Discovery in Databases (KDD) is known as the search for the information in this database is large. Main types of data mining software: clustering and partitioning software, software for statistical analysis, text analysis, mining and information retrieval software and visualization software.

The importance of data mining is gaining a lot due to the enormous toepasbaarheid. Esther, the use of advanced technologies, as well as a tool to make that decision. Some advanced data mining tools, database integration, automated scoring model, other applications, templates, model export business, including financial information, calculate the target columns, and can do more.

Some of the major applications of data mining, direct marketing, e - commerce, customer relationship management, health, oil and gas industry, scientific tests, genetics, telecommunications, financial services and utilities are. Text mining, web mining, social networks, data mining, relational databases, pictorial data mining, audio and video data mining Data mining: There are different types of data.

Some of the most popular data mining tools are: decision trees, information, probability, probability density functions, Gaussian, maximum likelihood estimation, Gaussian Braves classification, cross-validation, neural networks / case-based learning / memory based examples based / non-parametric regression algorithms, Bayesian networks, Gaussian mixture models, k-means and hierarchical clustering, Markov models, support vector machines, game tree search and alpha-beta search algorithms, game theory, artificial intelligence, heuristic A - Star Search, Hill climbing, simulated annealing and genetic algorithms .

Lextek profiling engine, text Megaputer analyst, Monarch, Recommind Mind Server, SAS Text Miner, SPSS LexiQuest, SPSS Text Mining for Clementine, group Temis, TESSI , Textalyser, TextPipe Pro, Text Quest, Read Ware, Quenza, Vantage Point (TM) by TextAI, Word Stat Visual Text. There are also free software and intext, S-EM (Spy EM), and / Vivisimo Clusty as shareware.

Search, collect, filter and analyze the data, defined as data mining. Large amount of information, various data relationships, patterns, or any significant statistical co - such relations can be taken from a large number.

Here is an overview of the data mining services include:

* Market research, product research, investigation and analysis

* Investors, investment funds and gathering information

* Forums, blogs and customer views / opinions to other sources

* Scan large amounts of data

* Information Extraction

* Pre-processing of the data from the data warehouse

* Meta data extraction

* Web data mining services online

* Data Mining Research Online

* Online Newspapers and news sources information research

* Excel sheet presentation of data collected from online sources

* Competitive Analysis

* Data Mining Books

* Information Interpretation

* Data collection update

After applying data mining process, you can easily extract information from the information filtered information processing and refinement. The data process is mainly divided into 3 sections, pre-processing, mining, and recognition. In short, authentic online data mining is a process of converting data into information.

by: John Johnson




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