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» Graph Mining based on a Data Partitioning Approach
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DEXA
2005
Springer
148views Database» more  DEXA 2005»
15 years 6 months ago
XG: A Data-Driven Computation Grid for Enterprise-Scale Mining
In this paper we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. We show how such an architecture can be le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Wen-...
97
Voted
ICDM
2006
IEEE
131views Data Mining» more  ICDM 2006»
15 years 6 months ago
Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems
The vast majority of visualization tools introduced so far are specialized pieces of software that are explicitly run on a particular dataset at a particular time for a particular...
Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Stefano Lona...
88
Voted
ICASSP
2010
IEEE
15 years 29 days ago
Toward signal processing theory for graphs and non-Euclidean data
Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze ...
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wol...
PVLDB
2008
82views more  PVLDB 2008»
15 years 7 days ago
Mining non-redundant high order correlations in binary data
Many approaches have been proposed to find correlations in binary data. Usually, these methods focus on pair-wise correlations. In biology applications, it is important to find co...
Xiang Zhang, Feng Pan, Wei Wang 0010, Andrew B. No...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 6 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding