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» CUM: An Efficient Framework for Mining Concept Units
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SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 6 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
IPPS
2010
IEEE
13 years 4 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
13 years 4 months ago
Mining Closed Strict Episodes
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
Nikolaj Tatti, Boris Cule
SIGECOM
2008
ACM
141views ECommerce» more  SIGECOM 2008»
13 years 6 months ago
On the communication requirements of verifying the VCG outcome
We consider the amount of communication required to verify the outcome of the Vickrey-Clarke-Groves (VCG) mechanism: an efficient allocation together with incentivizing VCG paymen...
Sébastien Lahaie, David C. Parkes
ICDE
2004
IEEE
117views Database» more  ICDE 2004»
14 years 7 months ago
Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web
In this paper, we introduce the concept of a QA-Pagelet to refer to the content region in a dynamic page that contains query matches. We present THOR, a scalable and efficient min...
James Caverlee, Ling Liu, David Buttler