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» Discovering Classification from Data of Multiple Sources
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CATE
2004
190views Education» more  CATE 2004»
13 years 9 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
ACL
2008
13 years 9 months ago
Multi-domain Sentiment Classification
This paper addresses a new task in sentiment classification, called multi-domain sentiment classification, that aims to improve performance through fusing training data from multi...
Shoushan Li, Chengqing Zong
SDM
2012
SIAM
307views Data Mining» more  SDM 2012»
11 years 10 months ago
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
Liang Ge, Aidong Zhang
CVIU
2004
132views more  CVIU 2004»
13 years 7 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
ECEASST
2010
13 years 4 months ago
Integrating Data from Multiple Repositories to Analyze Patterns of Contribution in FOSS Projects
: The majority of Free and Open Source Software (FOSS) developers are mobile and often use different identities in the projects or communities they participate in. These characteri...
Sulayman K. Sowe, Antonio Cerone