479 search results - page 87 / 96 » Intrusion Detection Based on Data Mining |
101
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VLDB
2004
ACM
15 years 5 months ago
2004
ACM
This presentation will discuss several database technology challenges that are faced when building a data warehouse. It will touch on the challenges posed by high capacity drives ...
103
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ALMOB
2008
14 years 12 months ago
2008
Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
101
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JMLR
2006
14 years 11 months ago
2006
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
CIKM
2010
Springer
14 years 10 months ago
2010
Springer
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for identifying abnormal moving activities. Indeed, various asp...
KDD
2007
ACM
16 years 4 days ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...