Data Mining

Data mining has been defined as "The nontrivial extraction of implicit, previously unknown, and potentially useful information from data"[1]

It uses machine learning, statistical and 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

[1] 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 an analytical process of exploring large amount of data in order to ppi claims cite the common denominators Fredericksburg DUI lawyer 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

See Also

Introduction To Data Mining