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» Phenomenal Data Mining: From Data to Phenomena
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SDM
2003
SIAM
91views Data Mining» more  SDM 2003»
15 years 8 months ago
An Outlier-based Data Association Method for Linking Criminal Incidents
Serial criminals are a major threat in the modern society. Associating incidents committed by the same offender is of great importance in studying serial criminals. In this paper,...
Song Lin, Donald E. Brown
CIS
2005
Springer
16 years 2 days ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
DAWAK
2005
Springer
16 years 2 days ago
Automatic Selection of Bitmap Join Indexes in Data Warehouses
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. This cost becomes even more prohibitive when querie...
Kamel Aouiche, Jérôme Darmont, Omar B...
BTW
2005
Springer
104views Database» more  BTW 2005»
16 years 2 days ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
15 years 6 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...