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» Data Level Inference Detection in Database Systems
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122
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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
16 years 1 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
139
Voted
NDSS
2006
IEEE
15 years 7 months ago
Using Generalization and Characterization Techniques in the Anomaly-based Detection of Web Attacks
The custom, ad hoc nature of web applications makes learning-based anomaly detection systems a suitable approach to provide early warning about the exploitation of novel vulnerabi...
William K. Robertson, Giovanni Vigna, Christopher ...
159
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MIR
2004
ACM
242views Multimedia» more  MIR 2004»
15 years 6 months ago
Content based access for a massive database of human observation video
We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of vid...
Laurent Joyeux, Erika Doyle, Hugh Denman, Andrew C...
147
Voted
BMCBI
2007
106views more  BMCBI 2007»
15 years 1 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...
122
Voted
DEXA
2009
Springer
175views Database» more  DEXA 2009»
15 years 7 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre