STAnD : Spacial Temporal Anomaly Detection System ..., 2017

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Metadata

Title
STAnD : Spacial Temporal Anomaly Detection System /
Date
2017
Material Type
Thesis
Creator/Author
Sinda, Matthew S., author.
Copyright
Copyright 2017 by Matthew S. Sinda. In accordance with Title 17 of the United States Code, Copyright Law of the United States of America, this material is copyrighted, and any further reproduction or distribution is prohibited without the permission of the copyright owner.
Subject
Anomaly detection (Computer security); Data mining; Information visualization
Description
Thesis (M.S.)--Central Michigan University, 2017 1 electronic resource (viii, 78 leaves) : Includes bibliographical references (leaves 75-78).
Language
English
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