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» Algorithms for discovering bucket orders from data
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85
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KDD
2005
ACM
107views Data Mining» more  KDD 2005»
15 years 6 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
CMPB
2010
186views more  CMPB 2010»
15 years 25 days ago
GPU-based cone beam computed tomography
The use of cone beam computed tomography (CBCT) is growing in the clinical arena due to its ability to provide 3-D information during interventions, its high diagnostic quality (su...
Peter B. Noël, Alan M. Walczak, Jinhui Xu, Ja...
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
15 years 5 months ago
Active knowledge: dynamically enriching RDF knowledge bases by web services
The proliferation of knowledge-sharing communities and the advances in information extraction have enabled the construction of large knowledge bases using the RDF data model to re...
Nicoleta Preda, Gjergji Kasneci, Fabian M. Suchane...
111
Voted
EDBT
2009
ACM
156views Database» more  EDBT 2009»
15 years 4 months ago
Efficient skyline retrieval with arbitrary similarity measures
A skyline query returns a set of objects that are not dominated by other objects. An object is said to dominate another if it is closer to the query than the latter on all factors...
Deepak P, Prasad M. Deshpande, Debapriyo Majumdar,...
107
Voted
PAMI
2008
152views more  PAMI 2008»
15 years 20 days ago
K-Nearest Neighbor Finding Using MaxNearestDist
Abstract-Similarity searching often reduces to finding the k nearest neighbors to a query object. Finding the k nearest neighbors is achieved by applying either a depth-first or a ...
Hanan Samet