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» Online Algorithms for Mining Semi-structured Data Stream
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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 2 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 11 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 2 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 2 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
15 years 7 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar