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» Mining Surprising Patterns Using Temporal Description Length
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KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 9 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
PAMI
2011
13 years 3 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
CIKM
2009
Springer
14 years 3 months ago
Compressing tags to find interesting media groups
On photo sharing websites like Flickr and Zooomr, users are offered the possibility to assign tags to their uploaded pictures. Using these tags to find interesting groups of sem...
Matthijs van Leeuwen, Francesco Bonchi, Börku...
KDD
2006
ACM
185views Data Mining» more  KDD 2006»
14 years 9 months ago
How to Define Searching Sessions on Web Search Engines
We investigate three methods for defining a session on Web search engines. We examine 2,465,145 interactions from 534,507 Web searchers. We compare defining sessions using: 1) Int...
Bernard J. Jansen, Amanda Spink, Vinish Kathuria
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
14 years 9 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White