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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 7 months ago
Scalable mining of large disk-based graph databases
Mining frequent structural patterns from graph databases is an interesting problem with broad applications. Most of the previous studies focus on pruning unfruitful search subspac...
Chen Wang, Wei Wang 0009, Jian Pei, Yongtai Zhu, B...
KDD
2002
ACM
112views Data Mining» more  KDD 2002»
16 years 7 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 7 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
CHI
2007
ACM
16 years 7 months ago
Shallow-depth 3d interaction: design and evaluation of one-, two- and three-touch techniques
On traditional tables, people frequently use the third dimension to pile, sort and store objects. However, while effective and informative for organization, this use of the third ...
Mark S. Hancock, M. Sheelagh T. Carpendale, Andy C...
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