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KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 8 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 6 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
183
Voted
SAC
2004
ACM
15 years 11 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...
ICDE
2004
IEEE
155views Database» more  ICDE 2004»
16 years 7 months ago
BIDE: Efficient Mining of Frequent Closed Sequences
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter lea...
Jianyong Wang, Jiawei Han
ISCIS
2009
Springer
15 years 10 months ago
PopulusLog: People information database
—Information about individuals on publicly available web sites stands as a valuable, yet unorganized, data source. Turning such an enormous data source into a “database” is h...
Ali Cakmak, Mustafa Kirac, Gultekin Özsoyoglu