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» CloseGraph: mining closed frequent graph patterns
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CIKM
2006
Springer
13 years 11 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...
KDID
2004
137views Database» more  KDID 2004»
13 years 9 months ago
Condensed Representation of EPs and Patterns Quantified by Frequency-Based Measures
Emerging patterns (EPs) are associations of features whose frequencies increase significantly from one class to another. They have been proven useful to build powerful classifiers ...
Arnaud Soulet, Bruno Crémilleux, Fran&ccedi...
SIGMOD
2008
ACM
136views Database» more  SIGMOD 2008»
14 years 8 months ago
Mining relationships among interval-based events for classification
Existing temporal pattern mining assumes that events do not have any duration. However, events in many real world applications have durations, and the relationships among these ev...
Dhaval Patel, Wynne Hsu, Mong-Li Lee
DIS
2004
Springer
14 years 1 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
14 years 9 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang