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» A method to predict social annotations
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CIKM
2009
Springer
14 years 4 months 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
LCTRTS
1999
Springer
14 years 2 months ago
Live Memory Analysis for Garbage Collection in Embedded Systems
Real-time garbage collection is essential if object-oriented languages (in particular, Java) are to become predictable enough for real-time embedded systems. Although techniques f...
Patrik Persson
LREC
2010
203views Education» more  LREC 2010»
13 years 11 months ago
MPC: A Multi-Party Chat Corpus for Modeling Social Phenomena in Discourse
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a...
Samira Shaikh, Tomek Strzalkowski, Aaron Broadwell...
COLING
2008
13 years 11 months ago
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
14 years 2 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...