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KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 3 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
BMCBI
2004
113views more  BMCBI 2004»
14 years 9 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
CVPR
2008
IEEE
15 years 11 months ago
Multi-label image segmentation via point-wise repetition
Bottom-up segmentation tends to rely on local features. Yet, many natural and man-made objects contain repeating elements. Such structural and more spread-out features are importa...
Gang Zeng, Luc J. Van Gool
ICPR
2000
IEEE
15 years 11 months ago
Optimal Color Composition Matching of Images
Color features are among the most important features used in image database retrieval, especially in cases where no additional semantic information is available. Due to its compac...
Jianying Hu, Aleksandra Mojsilovic
KDD
2009
ACM
153views Data Mining» more  KDD 2009»
15 years 10 months ago
Predicting bounce rates in sponsored search advertisements
This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...