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» Constraint-Based Pattern Set Mining
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 29 days ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
COOPIS
2004
IEEE
15 years 4 months ago
Discovering Workflow Transactional Behavior from Event-Based Log
Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performanc...
Walid Gaaloul, Sami Bhiri, Claude Godart
124
Voted
JCST
2008
124views more  JCST 2008»
15 years 15 days ago
Clustering by Pattern Similarity
The task of clustering is to identify classes of similar objects among a set of objects. The definition of similarity varies from one clustering model to another. However, in most ...
Haixun Wang, Jian Pei
111
Voted
APWEB
2006
Springer
15 years 4 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
96
Voted
IFIP12
2007
15 years 2 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters