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» Active learning in very large databases
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SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
13 years 11 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
VLDB
2006
ACM
138views Database» more  VLDB 2006»
14 years 7 months ago
Succinct representation of flexible and privacy-preserving access rights
Abstract We explore the problem of portable and flexible privacy preserving access rights that permit access to a large collection of digital goods. Privacy-preserving access contr...
Marina Blanton, Mikhail J. Atallah
BMCBI
2007
148views more  BMCBI 2007»
13 years 7 months ago
Blast sampling for structural and functional analyses
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
Anne Friedrich, Raymond Ripp, Nicolas Garnier, Emm...
CIVR
2007
Springer
210views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Semantic video analysis for psychological research on violence in computer games
In this paper, we present an automatic semantic video analysis system to support interdisciplinary research efforts in the field of psychology and media science. The psychological...
Markus Mühling, Ralph Ewerth, Thilo Stadelman...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 7 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik