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» Mining Very Large Databases
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124
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STOC
2001
ACM
134views Algorithms» more  STOC 2001»
16 years 2 months ago
Data-streams and histograms
Histograms are typically used to approximate data distributions. Histograms and related synopsis structures have been successful in a wide variety of popular database applications...
Sudipto Guha, Nick Koudas, Kyuseok Shim
132
Voted
FIMI
2004
161views Data Mining» more  FIMI 2004»
15 years 3 months ago
ABS: Adaptive Borders Search of frequent itemsets
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
Frédéric Flouvat, Fabien De Marchi, ...
143
Voted
SCIENTOMETRICS
2010
158views more  SCIENTOMETRICS 2010»
15 years 28 days ago
Rete-netzwerk-red: analyzing and visualizing scholarly networks using the Network Workbench Tool
The enormous increase in digital scholarly data and computing power combined with recent advances in text mining, linguistics, network science, and scientometrics make it possible...
Katy Börner, Weixia Huang, Micah Linnemeier, ...
TKDE
2012
227views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Publishing Search Logs - A Comparative Study of Privacy Guarantees
—Search engine companies collect the “database of intentions”, the histories of their users’ search queries. These search logs are a gold mine for researchers. Search engin...
Michaela Götz, Ashwin Machanavajjhala, Guozha...
140
Voted
SCCC
2000
IEEE
15 years 7 months ago
A Genetic Classifier Tool
Knowledge discovery is the most desirable end product of an enterprise information system. Researches from different areas recognize that a new generation of intelligent tools for...
Aurora T. R. Pozo, Mozart Hasse