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ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 4 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
14 years 1 months ago
Generating non-redundant association rules
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
Mohammed Javeed Zaki
IADIS
2009
13 years 7 months ago
Semantically distinct verb classes involved in sentiment analysis
The paper describes a novel rule-based approach to classification of opinion statements on the level of individual sentences. In contrast to existing approaches, the proposed meth...
Alena Neviarouskaya, Helmut Prendinger, Mitsuru Is...
GECCO
2003
Springer
14 years 3 months ago
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
In this paper, we generalize the replacement rules based on the dominance relation in multiobjective optimization. Ordinary two replacement rules based on the dominance relation ar...
Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
SIGKDD
2002
129views more  SIGKDD 2002»
13 years 9 months ago
Multi-Relational Data Mining: a Workshop Report
In this report, we briefly review the Multi-Relational Data Mining workshop, which was held in Edmonton, Canada on July, 23, 2002 as part of the workshop program of the 8th ACM SI...
Saso Dzeroski, Luc De Raedt