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» Experiments on Graph Clustering Algorithms
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IMSCCS
2007
IEEE
14 years 4 months ago
Linear Correlation Analysis of Numeric Attributes for Government Data
To analyze the linear correlations of numeric attributes of government data, this paper proposes a method based on the clustering algorithm. A clustering method is adopted to prun...
Ying Chen, Guochang Gu, Tian-yang Lv, Shaobin Huan...
CIKM
2003
Springer
14 years 2 months ago
Tracking changes in user interests with a few relevance judgments
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
ESANN
2006
13 years 11 months ago
Non-linear gating network for the large scale classification model CombNET-II
The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
14 years 9 months ago
Fg-index: towards verification-free query processing on graph databases
Graphs are prevalently used to model the relationships between objects in various domains. With the increasing usage of graph databases, it has become more and more demanding to e...
James Cheng, Yiping Ke, Wilfred Ng, An Lu
ICDE
2009
IEEE
145views Database» more  ICDE 2009»
14 years 4 months ago
Context-Aware Object Connection Discovery in Large Graphs
— Given a large graph and a set of objects, the task of object connection discovery is to find a subgraph that retains the best connection between the objects. Object connection...
James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu