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242
Voted
ANSS
2006
IEEE
16 years 1 months ago
2006
IEEE
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
229
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SBACPAD
2003
IEEE
16 years 8 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
189
Voted
EPIA
2003
Springer
16 years 7 days ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
211
Voted
CCS
2008
ACM
15 years 9 months ago
2008
ACM
We propose an approach for the selective enforcement of access control restrictions in, possibly distributed, large data collections based on two basic concepts: i) flexible autho...
206
Voted
IPPS
2010
IEEE
15 years 5 months ago
2010
IEEE
s the Pus using the OpenCL API as the platform independent programming model. It has the proposal to extend OpenCL with a module that schedule and balance the workload over the CPU...