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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 2 days ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
CIKM
2000
Springer
13 years 12 months ago
Dimensionality Reduction and Similarity Computation by Inner Product Approximations
—As databases increasingly integrate different types of information such as multimedia, spatial, time-series, and scientific data, it becomes necessary to support efficient retri...
Ömer Egecioglu, Hakan Ferhatosmanoglu
COMPUTE
2010
ACM
13 years 12 months ago
Mining periodic-frequent patterns with maximum items' support constraints
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...
R. Uday Kiran, P. Krishna Reddy
DEXAW
2007
IEEE
199views Database» more  DEXAW 2007»
13 years 11 months ago
Dealing with Sporadic Strangers, or the (Un)Suitability of Trust for Mobile P2P Security
A number of factors, such as the increasing popularity of wireless networks, the opportunities offered by 3G services, and the rapid proliferation of mobile devices, have stimulat...
Esther Palomar, Juan M. Estévez-Tapiador, J...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
13 years 11 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...