Data Mining Classification Calculation of SLIQ
Zhang De-feng · Computer and Modernization · 2005
AbstrcatClassification is one of the most important branches of data mining research works. Classification is to learn to find out a classification function or model on the basis of original data. The model can map a single record in database to a pre-assumed class. Thus, classification can be used to forecast. Most of data mining tool kits use the regular discovery or the decision tree classification techniques to find the new data model and rules, the nuclear target is a certain summarizing calculation. This tool kit usually mines the data in storage, produces rules and decision tree, and then analyzes and forecasts new data. This paper studies data mining classification calculation of SLIQ.