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» A General Divide and Conquer Approach for Process Mining
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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 5 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
15 years 5 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo
TIP
2002
81views more  TIP 2002»
14 years 10 months ago
Fractal image compression with region-based functionality
Region-based functionality offered by the MPEG-4 video compression standard is also appealing for still images, for example to permit object-based queries of a still-image database...
Kamel Belloulata, Janusz Konrad
KDD
2008
ACM
146views Data Mining» more  KDD 2008»
15 years 11 months ago
Spotting out emerging artists using geo-aware analysis of P2P query strings
Record label companies would like to identify potential artists as early as possible in their careers, before other companies approach the artists with competing contracts. The va...
Noam Koenigstein, Yuval Shavitt, Tomer Tankel
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 8 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li