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SIGCSE
2006
ACM
188views Education» more  SIGCSE 2006»
16 years 5 days ago
A data mining course for computer science: primary sources and implementations
An undergraduate elective course in data mining provides a strong opportunity for students to learn research skills, practice data structures, and enhance their understanding of a...
David R. Musicant
HICSS
1999
IEEE
137views Biometrics» more  HICSS 1999»
15 years 10 months ago
A Methodology for Evaluating and Selecting Data Mining Software
As data mining evolves and matures more and more businesses are incorporating this technology into their business practices. However, currently data mining and decision support so...
Ken W. Collier, Donald Sautter, Curt Marjaniemi, B...
IDA
2008
Springer
15 years 6 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
15 years 10 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten
IADIS
2008
15 years 7 months ago
Towards A Model-Driven Engineering Approach of Data Mining
Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Jesús Pardillo, José Jacobo Zubcoff,...