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» Decision Trees for Uncertain Data
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PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
15 years 7 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
ICDIM
2007
IEEE
15 years 8 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
AUSAI
1998
Springer
15 years 6 months ago
The Problem of Missing Values in Decision Tree Grafting
Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide ...
Geoffrey I. Webb
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 8 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken
105
Voted
WWW
2005
ACM
16 years 2 months ago
Focused crawling by exploiting anchor text using decision tree
Focused crawlers are considered as a promising way to tackle the scalability problem of topic-oriented or personalized search engines. To design a focused crawler, the choice of s...
Jun Li, Kazutaka Furuse, Kazunori Yamaguchi