Incremental Sparse-PCA Feature Extraction For Data Streams

Incremental Sparse-PCA Feature Extraction For Data Streams

Intruders attempt to penetrate commercial systems daily and cause considerable financial losses for individuals and organizations. Intrusion detection systems monitor network events to detect computer security threats. An extensive amount of network data is devoted to detecting malicious activities....

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Bibliographic Details
Main Author: Nziga, Jean-Pierre
Format: Others
Published: NSUWorks 2015
Subjects:
Computer science
Information science
Data streams
Feature extraction
Real-time learning
Sparse PCA
Computer Sciences
Computer Security
Databases and Information Systems
Online Access:http://nsuworks.nova.edu/gscis_etd/365
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1363&context=gscis_etd

Internet

http://nsuworks.nova.edu/gscis_etd/365
http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1363&context=gscis_etd

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