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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
140
Voted
IPMI
2005
Springer
16 years 4 months ago
Design of Robust Vascular Tree Matching: Validation on Liver
Abstract. In this paper, we propose an original and efficient tree matching algorithm for intra-patient hepatic vascular system registration. Vascular systems are segmented from CT...
Arnaud Charnoz, Vincent Agnus, Grégoire Mal...
FLAIRS
2001
15 years 5 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...
TCSV
2008
150views more  TCSV 2008»
15 years 3 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo
ICDE
2011
IEEE
194views Database» more  ICDE 2011»
14 years 7 months ago
Representative skylines using threshold-based preference distributions
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...