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Searching for "Unsupervised Anomaly Detection." – sorted by Relevance.

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37 documents found, showing 1 through 10. Next 10 →

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Unsupervised Anomaly Detection for Liquid-Fueled Rocket
by Mark Schwabacher, Nikunj Oza — 2007 — Propulsion Health Monitoring, AIAA InfoTech Aerospace Conference, Rohnert Park
…, California Unsupervised Anomaly Detection for Liquid-Fueled Rocket Propulsion Health Monitoring T Mark…
Cited by 2 (0 self) – Add To MetaCart

A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data
by Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy, Sal Stolfo — 2002 — Applications of Data Mining in Computer Security
… A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data…
Cited by 94 (8 self) – Add To MetaCart

Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
by Kingsly Leung, Christopher Leckie — 2005 — In Proc. 28th Australasian CS Conf., volume 38 of CRPITV
…Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters Abstract Kingsly…
Cited by 9 (0 self) – Add To MetaCart

Comparison of Unsupervised Anomaly Detection Methods for Systems Health Management Using Space
by R. A. Martin, M. Schwabacher, N. Oza, A. Srivastava — 2007 — Main Engine Data,” Proceedings of the Joint Army Navy NASA Air Force Conference on Propulsion, 2007
…COMPARISON OF UNSUPERVISED ANOMALY DETECTION METHODS FOR SYSTEMS HEALTH MANAGEMENT USING SPACE…
Cited by 3 (1 self) – Add To MetaCart

Robust Methods for Unsupervised PCA-based Anomaly Detection
by Roland Kwitt
…Robust Methods for Unsupervised PCA-based Anomaly Detection Roland Kwitt Advanced Networking…
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2005-01-3370 Machine Learning for Rocket Propulsion Health Monitoring
by unknown authors
…-learning-based unsupervised anomaly detection algorithms, Orca and GritBot, to data from two rocket propulsion testbeds…
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K.: Learning intrusion detection: supervised or unsupervised
by Pavel Laskov, Patrick Düssel, Christin Schäfer, Konrad Rieck — 2005 — In: Image Analysis and Processing, Proc. of 13th ICIAP Conference. (2005) 50–57
…) and unsupervised (anomaly detection and clustering). In this contribution we develop an experimental framework…
Cited by 6 (2 self) – Add To MetaCart

Intrusion detection in unlabeled data with quarter-sphere support vector machines
by Pavel Laskov, Christin Schäfer, Igor Kotenko — 2004 — PROC. DIMVA
… for unsupervised anomaly detection has been recently proposed. In this framework, the data is mapped into a feature…
Cited by 12 (7 self) – Add To MetaCart

MORPHEUS: Motif Oriented Representations to Purge Hostile Events from Unlabeled Sequences
by Gaurav Tandon, Philip Chan — 2004 — In Proc. of the ACM workshop on Visualization and Data Mining for Computer Security
… be effectively used to purge anomalies from unlabeled sequences. Although an unsupervised anomaly detection…
Cited by 4 (0 self) – Add To MetaCart

MINDS - Minnesota Intrusion Detection System
by Levent Ertöz, Eric Eilertson, Aleksandar Lazarevic, Ar Lazarevic, Pang-ning Tan, Vipin Kumar, Paul Dokas, Jaideep Srivastava
…, this paper focuses on two specific contributions: (i) an unsupervised anomaly detection technique…
Cited by 8 (0 self) – Add To MetaCart

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