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Incremental Sparse-Pca Feature Extraction For Data Streams, Jean-Pierre Nziga
Incremental Sparse-Pca Feature Extraction For Data Streams, Jean-Pierre Nziga
CCE Theses and Dissertations
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.
Storing, processing, and analyzing the massive volume of data is costly and indicate the need to find efficient methods to perform network data reduction that does not require the data to be first captured and stored. A better approach allows the extraction of useful variables from data streams in real time and in a single pass. The removal of irrelevant attributes …