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» kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
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SBBD
2007
126views Database» more  SBBD 2007»
13 years 10 months ago
Constraint-based Tree Pattern Mining
Abstract. A lot of recent applications dealing with complex data require sophisticated data structures (trees or graphs) for their specification. Recently, several techniques for ...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 6 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
CIKM
2004
Springer
14 years 2 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 9 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
SIAMMAX
2010
189views more  SIAMMAX 2010»
13 years 3 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng