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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
12 years 1 months ago
Mining event periodicity from incomplete observations
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
Zhenhui Li, Jingjing Wang, Jiawei Han
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
12 years 1 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
KDD
2012
ACM
243views Data Mining» more  KDD 2012»
12 years 1 months ago
Storytelling in entity networks to support intelligence analysts
Intelligence analysts grapple with many challenges, chief among them is the need for software support in storytelling, i.e., automatically ‘connecting the dots’ between dispar...
M. Shahriar Hossain, Patrick Butler, Arnold P. Boe...
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
12 years 1 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
CAV
2012
Springer
222views Hardware» more  CAV 2012»
12 years 1 months ago
Leveraging Interpolant Strength in Model Checking
Craig interpolation is a well known method of abstraction successfully used in both hardware and software model checking. The logical strength of interpolants can affect the quali...
Simone Fulvio Rollini, Ondrej Sery, Natasha Sharyg...