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» Clustering Rules Using Empirical Similarity of Support Sets
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SDM
2007
SIAM
86views Data Mining» more  SDM 2007»
14 years 11 months ago
Identifying Bundles of Product Options using Mutual Information Clustering
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...
Claudia Perlich, Saharon Rosset
ICSE
2001
IEEE-ACM
15 years 1 months ago
Supporting Program Comprehension Using Semantic and Structural Information
The paper focuses on investigating the combined use of semantic and structural information of programs to support the comprehension tasks involved in the maintenance and reenginee...
Jonathan I. Maletic, Andrian Marcus
RULEML
2010
Springer
14 years 7 months ago
Visualizing Logical Dependencies in SWRL Rule Bases
Rule bases are common in many business rule applications, clinical decision support programs, and other types of intelligent systems. As the size of the rule bases grows and the in...
Saeed Hassanpour, Martin J. O'Connor, Amar K. Das
ILP
2003
Springer
15 years 2 months ago
Disjunctive Learning with a Soft-Clustering Method
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
Guillaume Cleuziou, Lionel Martin, Christel Vrain
VLDB
2005
ACM
118views Database» more  VLDB 2005»
15 years 2 months ago
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets
Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “tele...
Liang Jin, Chen Li