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INTELLCOMM
2004
Springer
14 years 2 months ago
A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs
Abstract. Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and ne...
Risto Vaarandi
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 2 months ago
Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression
We present two new support vector approaches for ordinal regression. These approaches find the concentric spheres with minimum volume that contain most of the training samples. B...
Shirish Krishnaj Shevade, Wei Chu
FQAS
2000
Springer
137views Database» more  FQAS 2000»
14 years 11 days ago
Towards the Tractable Discovery of Association Rules with Negations
Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Jean-François Boulicaut, Artur Bykowski, Ba...
INFOVIS
2000
IEEE
14 years 1 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...
LREC
2010
346views Education» more  LREC 2010»
13 years 10 months ago
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
Microblogging today has become a very popular communication tool among Internet users. Millions of users share opinions on different aspects of life everyday. Therefore microblogg...
Alexander Pak, Patrick Paroubek