Data mining has been defined as "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data"
It uses machine learning, statistical and african mango diet
visualization techniques to discovery and present knowledge in a form which is easily comprehensible to humans.
There are a number of synonyms for data mining, including Knowledge Discovery in Databases
(KDD) and Business Analytics
 W. Frawley and G. Piatetsky-Shapiro and C. Matheus, Knowledge Discovery in Databases: An Overview. AI Magazine, Fall 1992, pgs 213-228.
The Data Mining Process
Data Mining evolved from a simple extraction of raw data to breast actives reviews
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or patterns. Basically, data mining involves three processes:House in Phuket
Step 1: Exploration - involves data preparation
Step 2: Model building and Validation - involves choosing the ones that are best suited to be used
Step 3: Deployment - involves using the chosen data to proceed with the generation of the outcome
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Introduction To Data Mining