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» Large Scale Data Mining: Challenges and Responses
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PVLDB
2010
122views more  PVLDB 2010»
15 years 4 months ago
On Graph Query Optimization in Large Networks
The dramatic proliferation of sophisticated networks has resulted in a growing need for supporting effective querying and mining methods over such large-scale graph-structured da...
Peixiang Zhao, Jiawei Han
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
15 years 11 months ago
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
David Poole
COLING
2010
15 years 1 months ago
Contextual Recommendation based on Text Mining
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba...
CIKM
2009
Springer
16 years 21 days ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
16 years 9 days ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh