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» On compressing frequent patterns
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DATAMINE
2008
137views more  DATAMINE 2008»
15 years 4 months ago
Two heads better than one: pattern discovery in time-evolving multi-aspect data
Abstract. Data stream values are often associated with multiple aspects. For example, each value observed at a given time-stamp from environmental sensors may have an associated ty...
Jimeng Sun, Charalampos E. Tsourakakis, Evan Hoke,...
FLAIRS
2003
15 years 5 months ago
Association Mining in Gradually Changing Domains
Association mining explores algorithms capable of detecting frequently co-occurring items in transactions. A transaction can be identified with a market basket—a list of items ...
Antonin Rozsypal, Miroslav Kubat
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
15 years 4 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 4 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
JCP
2006
139views more  JCP 2006»
15 years 4 months ago
Generalized Sequential Pattern Mining with Item Intervals
Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their order. However, it is important to ...
Yu Hirate, Hayato Yamana