Title :
Foundations of predictive data mining
Author :
Jovanovic, N. ; Milutinovic, V. ; Obradovic, Z.
Abstract :
The aim of this paper is to introduce a novel reader to the topic of predictive data mining (DM) by discussing technical aspects and requirements of common mining tools. A description of DM scope is followed by comparing DM to related data management and analysis techniques. This is followed by a discussion of a typical predictive DM process, and some of the more successful algorithms and software packages.
Keywords :
data mining; data warehouses; decision trees; feedforward neural nets; genetic algorithms; K-nearest neighbor classification technique; algorithms; data management techniques; data warehousing; decision trees; feed-forward neural network structure; foundations; genetic algorithms; knowledge discovery; logistic regression; predictive data mining; rule induction; software packages; technical aspects; Data analysis; Data mining; Data warehouses; Databases; Delta modulation; Dictionaries; Risk analysis; Software algorithms; Software packages; Statistics;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on
Print_ISBN :
0-7803-7593-9
DOI :
10.1109/NEUREL.2002.1057967
