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» On compressing frequent patterns
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GCB
1997
Springer
77views Biometrics» more  GCB 1997»
15 years 8 months ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron
CINQ
2004
Springer
182views Database» more  CINQ 2004»
15 years 7 months ago
Mining Constrained Graphs: The Case of Workflow Systems
Abstract. Constrained graphs are directed graphs describing the control flow of processes models. In such graphs, nodes represent activities involved in the process, and edges the ...
Gianluigi Greco, Antonella Guzzo, Giuseppe Manco, ...
CICLING
2006
Springer
15 years 7 months ago
Unsupervised Learning of Verb Argument Structures
We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 mo...
Thiago Alexandre Salgueiro Pardo, Daniel Marcu, Ma...
ENC
2004
IEEE
15 years 7 months ago
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Christophe Cérin, Gay Gay, Gaël Le Mah...
AAAI
2008
15 years 6 months ago
Clustering on Complex Graphs
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tian...