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» An Approach to Generation of Decision Rules
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VLDB
1995
ACM
181views Database» more  VLDB 1995»
13 years 11 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
SDM
2010
SIAM
184views Data Mining» more  SDM 2010»
13 years 9 months ago
A Robust Decision Tree Algorithm for Imbalanced Data Sets
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
IJCAI
2003
13 years 8 months ago
Great Expectations. Part II: Generalized Expected Utility as a Universal Decision Rule
Many different rules for decision making have been introduced in the literature. We show that a notion of generalized expected utility proposed in [Chu and Halpern 2003] is a uni...
Francis C. Chu, Joseph Y. Halpern
RSCTC
2010
Springer
160views Fuzzy Logic» more  RSCTC 2010»
13 years 5 months ago
Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data
Abstract. Clinical Decision Support Systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physician...
William Klement, Szymon Wilk, Martin Michalowski, ...
CVPR
1998
IEEE
14 years 9 months ago
Generation of the Euclidean Skeleton from the Vector Distance Map by a Bisector Decision Rule
The Euclidean skeleton is essential for general shape representation. This paper provides an e cient method to extract a well-connected Euclidean skeleton by a neighbor bisector d...
Hong Li, Albert M. Vossepoel