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» Stochastic processes and temporal data mining
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ESWA
2008
101views more  ESWA 2008»
13 years 7 months ago
Discovering during-temporal patterns (DTPs) in large temporal databases
Abstract Large temporal Databases (TDBs) usually contain a wealth of data about temporal events. Aimed at discovering temporal patterns with during relationship (during-temporal pa...
Li Zhang, Guoqing Chen, Tom Brijs, Xing Zhang
RECOMB
2007
Springer
14 years 7 months ago
Production-Passage-Time Approximation: A New Approximation Method to Accelerate the Simulation Process of Enzymatic Reactions
Abstract. Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This pap...
Hiroyuki Kuwahara, Chris J. Myers
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 5 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
CIBCB
2008
IEEE
14 years 1 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
SOFTVIS
2005
ACM
14 years 27 days ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...