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COR
2004
115views more  COR 2004»
13 years 8 months ago
Evaluation of decision trees: a multi-criteria approach
Data mining (DM) techniques are being increasingly used in many modern organizations to retrieve valuable knowledge structures from organizational databases, including data wareho...
Kweku-Muata Osei-Bryson
APWEB
2006
Springer
14 years 10 days ago
Multi-agent Web Text Mining on the Grid for Enterprise Decision Support
Abstract. In this study, a multi-agent web text mining system on the grid is developed to support enterprise decision-making. First, an individual intelligent learning agent that l...
Kin Keung Lai, Lean Yu, Shouyang Wang
KDD
1995
ACM
216views Data Mining» more  KDD 1995»
14 years 3 days ago
Robust Decision Trees: Removing Outliers from Databases
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
George H. John
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
KBS
2002
141views more  KBS 2002»
13 years 8 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer