COMPARISON OF DATA-MINING ALOGRITHMS IN SAS ENTERPRISE MINER, IBM
INTELLIGENT MINER, SPSS ClEMENTINE AND MICROSOFT SQL 2000 SERVER
Quek Ser Aik
National University of Singapore (fbaqsa@nus.edu.sg)
Abstract
Common methods used in data-mining engines are Decision Tree, Clustering, Regression,
Neural Network, Time Series, Link Analysis and Factor Analysis, but implementations of
these vary widely among some of the better-known programs. This article examines the
coverage as well as differences in the analyses among the four data-mining applications.