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137
Voted
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 6 months ago
Mining Various Patterns in Sequential Data in an SQL-like Manner
Abstract. One of the most important data mining tasks is discovery of frequently occurring patterns in sequences of events. Many algorithms for finding various patterns in sequenti...
Marek Wojciechowski
138
Voted
ADMA
2008
Springer
186views Data Mining» more  ADMA 2008»
15 years 9 months ago
A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree
Association rules mining is a frequently used technique which finds interesting association and correlation relationships among large set of data items which occur frequently toge...
Chunhua Su, Kouichi Sakurai
126
Voted
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
15 years 6 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
15 years 4 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 3 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer