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CIKM
2006
Springer
13 years 9 months ago
TRIPS and TIDES: new algorithms for tree mining
Recent research in data mining has progressed from mining frequent itemsets to more general and structured patterns like trees and graphs. In this paper, we address the problem of...
Shirish Tatikonda, Srinivasan Parthasarathy, Tahsi...
FLAIRS
2008
13 years 7 months ago
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction
1 In this paper, we propose a peptide folding prediction method which discovers contrast patterns to differentiate and predict peptide folding classes. A contrast pattern is defin...
Chinar C. Shah, Xingquan Zhu, Taghi M. Khoshgoftaa...
BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
13 years 5 months ago
Mining Clinical Data with a Temporal Dimension: A Case Study
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
13 years 3 months ago
Mining Closed Strict Episodes
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
Nikolaj Tatti, Boris Cule
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 3 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