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» A framework for mining interesting pattern sets
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SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 1 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ICFCA
2009
Springer
15 years 8 months ago
Yet a Faster Algorithm for Building the Hasse Diagram of a Concept Lattice
Formal concept analysis (FCA) is increasingly applied to data mining problems, essentially as a formal framework for mining reduced representations (bases) of target pattern famili...
Jaume Baixeries, Laszlo Szathmary, Petko Valtchev,...
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IDA
2006
Springer
15 years 1 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
IWPC
2002
IEEE
15 years 6 months ago
Mining System-User Interaction Traces for Use Case Models
While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been o...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 6 months ago
Text Mining at the Term Level
Knowledge Discovery in Databases (KDD) focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns within them. While most work on...
Ronen Feldman, Moshe Fresko, Yakkov Kinar, Yehuda ...