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ICEIS
2009
IEEE
13 years 6 months ago
Mining Patterns in the Presence of Domain Knowledge
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
Cláudia Antunes
SDM
2009
SIAM
192views Data Mining» more  SDM 2009»
14 years 6 months ago
Mining Cohesive Patterns from Graphs with Feature Vectors.
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
WM
2003
13 years 10 months ago
Knowledge discovery methods
: Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
Stefan Smolnik
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 10 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
14 years 9 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua