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DIS
2009
Springer
15 years 11 months ago
Mining Heterogeneous Information Networks by Exploring the Power of Links
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneou...
Jiawei Han
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
14 years 6 days ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
13 years 7 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
16 years 5 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta
WSDM
2009
ACM
138views Data Mining» more  WSDM 2009»
15 years 11 months ago
Integration of news content into web results
Aggregated search refers to the integration of content from specialized corpora or verticals into web search results. Aggregation improves search when the user has vertical intent...
Fernando Diaz