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CLIMA
2004
13 years 7 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 6 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 6 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
ICDE
2009
IEEE
173views Database» more  ICDE 2009»
14 years 8 months ago
Efficient Processing of Warping Time Series Join of Motion Capture Data
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
Yueguo Chen, Gang Chen, Ke Chen, Beng Chin Ooi
BMCBI
2007
133views more  BMCBI 2007»
13 years 6 months ago
MATLIGN: a motif clustering, comparison and matching tool
Background: Sequence motifs representing transcription factor binding sites (TFBS) are commonly encoded as position frequency matrices (PFM) or degenerate consensus sequences (CS)...
Matti Kankainen, Ari Löytynoja