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WSDM
2012
ACM
334views Data Mining» more  WSDM 2012»
12 years 3 months ago
mTrust: discerning multi-faceted trust in a connected world
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogen...
Jiliang Tang, Huiji Gao, Huan Liu
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 9 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
14 years 7 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...
WSDM
2009
ACM
117views Data Mining» more  WSDM 2009»
14 years 2 months ago
Query by document
We are experiencing an unprecedented increase of content contributed by users in forums such as blogs, social networking sites and microblogging services. Such abundance of conten...
Yin Yang, Nilesh Bansal, Wisam Dakka, Panagiotis G...
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 9 months ago
Multi-way Clustering on Relation Graphs
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
Arindam Banerjee, Sugato Basu, Srujana Merugu