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» On compressing frequent patterns
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168
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ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
15 years 1 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»
15 years 1 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
MSR
2006
ACM
15 years 10 months ago
MAPO: mining API usages from open source repositories
To improve software productivity, when constructing new software systems, developers often reuse existing class libraries or frameworks by invoking their APIs. Those APIs, however...
Tao Xie, Jian Pei
146
Voted
CPM
2001
Springer
211views Combinatorics» more  CPM 2001»
15 years 8 months ago
Fuzzy Hamming Distance: A New Dissimilarity Measure
Lempel Ziv Coding (Extended Abstract). . . . . . . . . . . . . . . . . . . . . . . 18 Shmuel Tomi Klein, Yair Wiseman Approximate Matching of Run-Length Compressed Strings . . . . ...
Abraham Bookstein, Shmuel T. Klein, Timo Raita
CGO
2004
IEEE
15 years 7 months ago
Exposing Memory Access Regularities Using Object-Relative Memory Profiling
Memory profiling is the process of characterizing a program's memory behavior by observing and recording its response to specific input sets. Relevant aspects of the program&...
Qiang Wu, Artem Pyatakov, Alexey Spiridonov, Easwa...