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» Compositional Variability - Concepts and Patterns
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
15 years 12 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
SODA
2010
ACM
213views Algorithms» more  SODA 2010»
15 years 12 months ago
Regular Expression Matching with Multi-Strings
Regular expression matching is a key task (and often computational bottleneck) in a variety of software tools and applications. For instance, the standard grep and sed utilities, ...
Philip Bille, Mikkel Thorup
118
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ICDE
2007
IEEE
107views Database» more  ICDE 2007»
15 years 8 months ago
An Integrated Platform for Spatial Data Mining within a GIS Environment
The strength of GIS is in providing a rich data infrastructure for combining disparate data in meaningful ways by using a spatial arrangement (e.g., proximity). As a toolbox, a GI...
Annalisa Appice, Antonietta Lanza, Donato Malerba
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 8 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
LCTRTS
2010
Springer
15 years 7 months ago
Cache vulnerability equations for protecting data in embedded processor caches from soft errors
Continuous technology scaling has brought us to a point, where transistors have become extremely susceptible to cosmic radiation strikes, or soft errors. Inside the processor, cac...
Aviral Shrivastava, Jongeun Lee, Reiley Jeyapaul