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» Online Data Mining for Co-Evolving Time Sequences
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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
14 years 12 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
EDM
2009
120views Data Mining» more  EDM 2009»
14 years 7 months ago
Improving Student Question Classification
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
Cecily Heiner, Joseph L. Zachary
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 8 months ago
Detecting Novel Discrepancies in Communication Networks
Abstract--We address the problem of detecting characteristic patterns in communication networks. We introduce a scalable approach based on set-system discrepancy. By implicitly lab...
James Abello, Tina Eliassi-Rad, Nishchal Devanur
ECCV
2006
Springer
15 years 12 months ago
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challengin...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
SSD
2001
Springer
122views Database» more  SSD 2001»
15 years 2 months ago
Calendars, Time Granularities, and Automata
The notion of time granularity comes into play in a variety of problems involving time representation and management in database applications, including temporal database design, t...
Ugo Dal Lago, Angelo Montanari