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» Evaluation of Sampling for Data Mining of Association Rules
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SDM
2009
SIAM
143views Data Mining» more  SDM 2009»
14 years 5 months ago
Finding Representative Association Rules from Large Rule Collections.
One of the most well-studied problems in data mining is computing association rules from large transactional databases. Often, the rule collections extracted from existing datamin...
Warren L. Davis IV, Peter Schwarz, Evimaria Terzi
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
14 years 2 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...
DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 10 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
KDD
2001
ACM
155views Data Mining» more  KDD 2001»
14 years 9 months ago
Evaluating the novelty of text-mined rules using lexical knowledge
Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupu...
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
14 years 2 days 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