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» MayBMS: a probabilistic database management system
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CIKM
2010
Springer
13 years 9 months ago
You are where you tweet: a content-based approach to geo-locating twitter users
We propose and evaluate a probabilistic framework for estimating a Twitter user’s city-level location based purely on the content of the user’s tweets, even in the absence of ...
Zhiyuan Cheng, James Caverlee, Kyumin Lee
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
12 years 1 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
SIGMOD
2007
ACM
167views Database» more  SIGMOD 2007»
14 years 11 months ago
Data currency in replicated DHTs
Distributed Hash Tables (DHTs) provide a scalable solution for data sharing in P2P systems. To ensure high data availability, DHTs typically rely on data replication, yet without ...
Reza Akbarinia, Esther Pacitti, Patrick Valduriez
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
14 years 11 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 2 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...