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» A New Class Based Associative Classification Algorithm
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KDD
2001
ACM
145views Data Mining» more  KDD 2001»
14 years 10 months ago
Proximal support vector machine classifiers
Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Glenn Fung, Olvi L. Mangasarian
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
14 years 10 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
SAC
2006
ACM
13 years 10 months ago
powerJava: ontologically founded roles in object oriented programming languages
In this paper we introduce a new view on roles in Object Oriented programming languages, based on an ontological analysis of roles. A role is always associated with an object inst...
Matteo Baldoni, Guido Boella, Leendert W. N. van d...
SIAMDM
2002
124views more  SIAMDM 2002»
13 years 10 months ago
Scheduling Unrelated Machines by Randomized Rounding
We present a new class of randomized approximation algorithms for unrelated parallel machine scheduling problems with the average weighted completion time objective. The key idea i...
Andreas S. Schulz, Martin Skutella
EDBT
2008
ACM
160views Database» more  EDBT 2008»
14 years 4 days ago
Taxonomy-superimposed graph mining
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
Ali Cakmak, Gultekin Özsoyoglu