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» Clustering by pattern similarity in large data sets
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ICPPW
2002
IEEE
15 years 11 months ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 6 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
16 years 7 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
MSS
2000
IEEE
124views Hardware» more  MSS 2000»
15 years 10 months ago
Towards Mass Storage Systems with Object Granularity
Many applications, that need mass storage, manipulate data sets with KB – MB size objects. In contrast, mass storage devices work most efficiently for the storage and transfer ...
Koen Holtman, Peter van der Stok, Ian Willers
SOCIALCOM
2010
15 years 4 months ago
Traffic in Social Media I: Paths Through Information Networks
Wikipedia is used every day by people all around the world, to satisfy a variety of information needs. We crosscorrelate multiple Wikipedia traffic data sets to infer various behav...
Jacob Ratkiewicz, Alessandro Flammini, Filippo Men...