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» A method to predict social annotations
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CIKM
2009
Springer
15 years 6 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
15 years 4 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»
15 years 1 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
15 years 1 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»
15 years 4 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...