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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 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...
ASUNAM
2009
IEEE
16 years 1 months ago
Modeling a Store's Product Space as a Social Network
A market basket is a set of products that form a single retail transaction. This purchase data of products can shed important light on how product(s) might influence sales of oth...
Troy Raeder, Nitesh V. Chawla
WAIM
2007
Springer
16 years 22 days ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
CORR
2004
Springer
125views Education» more  CORR 2004»
15 years 6 months ago
Traffic Accident Analysis Using Decision Trees and Neural Networks
The costs of fatalities and injuries due to traffic accident have a great impact on society. This paper presents our research to model the severity of injury resulting from traffi...
Miao M. Chong, Ajith Abraham, Marcin Paprzycki
IOR
2011
175views more  IOR 2011»
15 years 1 months ago
Clique Relaxations in Social Network Analysis: The Maximum k-Plex Problem
This paper introduces and studies the maximum k-plex problem, which arises in social network analysis and has wider applicability in several important areas employing graph-based ...
Balabhaskar Balasundaram, Sergiy Butenko, Illya V....