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» Compression-based data mining of sequential data
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ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
EUSFLAT
2007
118views Fuzzy Logic» more  EUSFLAT 2007»
13 years 10 months ago
A Less Cumulative Algorithm of Mining Linguistic Browsing Patterns in the World Wide Web
Finding sequential patterns is one of important issues in data mining. This paper deals with linguistic (fuzzy) sequential patterns. The existing algorithms for discovering such p...
Krzysztof Dyczkowski
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 9 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 1 months ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
ICDM
2002
IEEE
105views Data Mining» more  ICDM 2002»
14 years 1 months ago
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bian...