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» Benchmarking Data Mining Algorithms
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SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
15 years 8 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein
JUCS
2007
118views more  JUCS 2007»
15 years 4 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
ATAL
2004
Springer
15 years 9 months ago
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
We present GAMUT1 , a suite of game generators designed for testing game-theoretic algorithms. We explain why such a generator is necessary, offer a way of visualizing relationshi...
Eugene Nudelman, Jennifer Wortman, Yoav Shoham, Ke...
IJCNLP
2005
Springer
15 years 9 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
16 years 4 months ago
Catching the drift: learning broad matches from clickthrough data
Identifying similar keywords, known as broad matches, is an important task in online advertising that has become a standard feature on all major keyword advertising platforms. Eff...
Sonal Gupta, Mikhail Bilenko, Matthew Richardson