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» Decision Tree with Better Ranking
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ICML
2003
IEEE
13 years 10 months ago
Decision Tree with Better Ranking
AUC(Area Under the Curve) of ROC(Receiver Operating Characteristics) has been recently used as a measure for ranking performanceof learning algorithms. In this paper, wepresent a ...
Charles X. Ling, Robert J. Yan
JDCTA
2008
107views more  JDCTA 2008»
13 years 4 months ago
A Rule Set Generation Technique for Better Decision Making
A rule set generation technique based on a generated decision tree is suggested for better decision making to compensate the weak point of decision trees
Hyontai Sug
ICTAI
2006
IEEE
13 years 11 months ago
Improve Decision Trees for Probability-Based Ranking by Lazy Learners
Existing work shows that classic decision trees have inherent deficiencies in obtaining a good probability-based ranking (e.g. AUC). This paper aims to improve the ranking perfor...
Han Liang, Yuhong Yan
IJCAI
1989
13 years 6 months ago
Generating Better Decision Trees
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
Steven W. Norton
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
14 years 5 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen