VistaMIS1 Wiki

Data mining is a business intelligence system, created from statistics, mathematics, machine learning fields and artificial intelligence. Data mining is often referred to as the knowledge discovery database because of the mixture disciplinary terms. The majority of data mining techniques are complicated and sophisticated but are very helpful to business professionals, in finance and marketing as well as organizations. Data mining uses statistical techniques in order to find patterns and the relationship from data which creates classifications and allows organizations predict future business outcomes.

Data mining techniques fall into two major categories, and they are supervised and unsupervised. Supervised Data Mining, models are developed prior to the analysis while supplying statistical techniques to the data in order to estimate the parameters. This technique measures the effects of variables. Unsupervised Data Mining apply data mining application to the data and then observe the results. Afterwards create a hypotheses which helps explain the patterns. 

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 Normalization - making your tables better structured with each other.