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ICDM
2006
IEEE
149views Data Mining» more  ICDM 2006»
14 years 2 months ago
Pattern Mining in Frequent Dynamic Subgraphs
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wa...
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Clustering Multi-represented Objects with Noise
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...
Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin...
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 8 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
LCTRTS
2010
Springer
13 years 6 months ago
Improving both the performance benefits and speed of optimization phase sequence searches
The issues of compiler optimization phase ordering and selection present important challenges to compiler developers in several domains, and in particular to the speed, code size,...
Prasad A. Kulkarni, Michael R. Jantz, David B. Wha...
PAAPP
2007
112views more  PAAPP 2007»
13 years 7 months ago
A study on video viewing behavior: application to movie trailer miner
In this paper, we present a study on video viewing behavior. Based on a well-suited Markovian model, we have developed a clustering algorithm called K-Models and inspired by the K...
Sylvain Mongy