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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 3 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
ICDE
2012
IEEE
237views Database» more  ICDE 2012»
13 years 1 months ago
On Discovery of Traveling Companions from Streaming Trajectories
— The advance of object tracking technologies leads to huge volumes of spatio-temporal data collected in the form of trajectory data stream. In this study, we investigate the pro...
Lu An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice...
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
14 years 8 months ago
To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework
This paper analyzes the trustor and trustee factors that lead to inter-personal trust using a well studied Trust Antecedent framework in management science [10]. To apply these fac...
Viet-An Nguyen, Ee-Peng Lim, Jing Jiang, Aixin Sun
DASFAA
2005
IEEE
177views Database» more  DASFAA 2005»
15 years 4 months ago
SemEQUAL: Multilingual Semantic Matching in Relational Systems
In an increasingly multilingual world, it is critical that information management tools organically support the simultaneous use of multiple natural languages. A pre-requisite for ...
A. Kumaran, Jayant R. Haritsa
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 11 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan