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SGAI
2007
Springer
16 years 15 days ago
Towards a Computationally Efficient Approach to Modular Classification Rule Induction
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
Frederic T. Stahl, Max Bramer
CIBCB
2008
IEEE
16 years 26 days ago
Very large scale ReliefF for genome-wide association analysis
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
Margaret J. Eppstein, Paul Haake
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 10 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
TPHOL
2009
IEEE
16 years 1 months ago
Formalising FinFuns - Generating Code for Functions as Data from Isabelle/HOL
Abstract. FinFuns are total functions that are constant except for a finite set of points, i.e. a generalisation of finite maps. We formalise them in Isabelle/HOL and present how...
Andreas Lochbihler
ICDE
2005
IEEE
146views Database» more  ICDE 2005»
16 years 7 months ago
Mining Evolving Customer-Product Relationships in Multi-Dimensional Space
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
Xiaolei Li, Jiawei Han, Xiaoxin Yin, Dong Xin