Data Mining

Data mining techniques, Datamining software & tool, Data miner-Tips

This section will cover most of the data mining basics and provides tutorial for data miners. Explore article links for details.

Text book definition of data mining:

01"Data processing using sophisticated data search capabilities and statistical algorithms to discover patterns and correlations in large preexisting databases; a way to discover new meaning in data"

02"Data mining is the process of extracting patterns from data. As more data are gathered, with the amount of data doubling every three years, data mining is becoming an increasingly important tool to transform these data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery"

03"Data mining uses a relatively large amount of computing power operating on a large set of data to determine regularities and connections between data points. Algorithms that employ techniques from statistics, machine learning and pattern recognition are used to search large databases automatically. Data mining is also known as Knowledge-Discovery in Databases (KDD)"

04"Data mining is usually defined as searching, analyzing and sifting through large amounts of data to find relationships, patterns, or any significant statistical correlations"

05"Data mining software sifts through very large volumes of data in search of patterns among the data. Kurt Thearling, an expert on data mining, calls it "the automated extraction of hidden predictive information from databases"

Data Mining Articles & Beginners tutorials: