479 search results - page 57 / 96 » Intrusion Detection Based on Data Mining |
124
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CIKM
2009
Springer
15 years 6 months ago
2009
Springer
Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or “outlier factor” sig...
200
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ICDE
2007
IEEE
16 years 1 months ago
2007
IEEE
Efficiently processing continuous k-nearest neighbor queries on data streams is important in many application domains, e. g. for network intrusion detection or in querysubscriber ...
172
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ICDE
2008
IEEE
16 years 1 months ago
2008
IEEE
Outlier detection has been a popular data mining task. However, there is a lack of serious study on outlier detection for trajectory data. Even worse, an existing trajectory outlie...
200
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SIGMOD
2006
ACM
15 years 12 months ago
2006
ACM
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
IJDE
2007
14 years 11 months ago
2007
Inconsistencies in various data structures, such as missing log records and modified operating system files, have long been used by intrusion investigators and forensic analysts a...