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PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
14 years 26 days ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
14 years 5 days ago
Decision Tree Induction: How Effective is the Greedy Heuristic?
Mostexisting decision tree systemsuse a greedyapproachto inducetrees -- locally optimalsplits are inducedat every node of the tree. Althoughthe greedy approachis suboptimal,it is ...
Sreerama K. Murthy, Steven Salzberg
IADIS
2004
13 years 10 months ago
OLAP in enterprise decision modelling
This paper describes the application of online analytical processing (OLAP) in the field of data mining. We discuss knowledge discovery in enterprise databases as well as data war...
Perihan Kilimci, Bora Gökçe, Oya Kalip...
ICDM
2006
IEEE
151views Data Mining» more  ICDM 2006»
14 years 2 months ago
Decision Trees for Functional Variables
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...
Suhrid Balakrishnan, David Madigan
SAC
2006
ACM
14 years 2 months ago
Induction of compact decision trees for personalized recommendation
We propose a method for induction of compact optimal recommendation policies based on discovery of frequent itemsets in a purchase database, followed by the application of standar...
Daniel Nikovski, Veselin Kulev