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FLAIRS
2004
15 years 6 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 8 months ago
Mining Segment-Wise Periodic Patterns in Time-Related Databases
Periodicity search, that is, searchfor cyclicity in time-related databases, is an interesting data mining problem. Mostprevious studies have been on finding full-cycle periodicity...
Jiawei Han, Wan Gong, Yiwen Yin
DATE
2010
IEEE
166views Hardware» more  DATE 2010»
15 years 9 months ago
GoldMine: Automatic assertion generation using data mining and static analysis
Shobha Vasudevan, David Sheridan, Sanjay J. Patel,...
ICDM
2007
IEEE
227views Data Mining» more  ICDM 2007»
15 years 11 months ago
Optimal Subsequence Bijection
We consider the problem of elastic matching of sequences of real numbers. Since both a query and a target sequence may be noisy, i.e., contain some outlier elements, it is desirab...
Longin Jan Latecki, Qiang Wang, Suzan Koknar-Tezel...
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
15 years 10 months ago
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folksonomies. ...
Robert Jäschke, Andreas Hotho, Christoph Schm...