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» Efficiently mining frequent trees in a forest
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KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 8 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
TKDE
2008
94views more  TKDE 2008»
13 years 7 months ago
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm
In this paper, we present a new tree mining algorithm, DRYADEPARENT, based on the hooking principle first introduced in DRYADE. In the experiments, we demonstrate that the branchin...
Alexandre Termier, Marie-Christine Rousset, Mich&e...
TCSV
2008
150views more  TCSV 2008»
13 years 7 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
ADMA
2008
Springer
147views Data Mining» more  ADMA 2008»
14 years 2 months ago
Mining Supplemental Frequent Patterns
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Ro...
SSD
2001
Springer
218views Database» more  SSD 2001»
14 years 3 days ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos