Coverart for item
The Resource Event mining : algorithms and applications, edited by Tao Li

Event mining : algorithms and applications, edited by Tao Li

Label
Event mining : algorithms and applications
Title
Event mining
Title remainder
algorithms and applications
Statement of responsibility
edited by Tao Li
Contributor
Subject
Language
eng
Summary
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefore, plays an important role in data-driven system management. Event Mining: Algorithms and Applications presents state-of-the-art event mining approaches and applications with a focus on computing system management. The book first explains how to transform log data in disparate formats and contents into a canonical form as well as how to optimize system monitoring. It then shows how to extract useful knowledge from data. It describes intelligent and efficient methods and algorithms to perform data-driven pattern discovery and problem determination for managing complex systems. The book also discusses data-driven approaches for the detailed diagnosis of a system issue and addresses the application of event summarization in Twitter messages (tweets). Understanding the interdisciplinary field of event mining can be challenging as it requires familiarity with several research areas and the relevant literature is scattered in diverse publications. This book makes it easier to explore the field by providing both a good starting point for readers not familiar with the topics and a comprehensive reference for those already working in this area
Member of
Dewey number
006.3/12
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1972 June 25-
http://library.link/vocab/relatedWorkOrContributorName
Li, Tao
Series statement
Chapman & Hall/CRC data mining and knowledge discovery series
http://library.link/vocab/subjectName
  • Data mining
  • Data logging
Label
Event mining : algorithms and applications, edited by Tao Li
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 283-303), and index
Color
mixed
Contents
  • Mining time lags
  • Chungiu Zeng, Liang Tang, and Tao Li
  • Log event summarization
  • Yexi Jiang and Tao Li
  • Data-driven applications in system management
  • Wubai Zhou, Chunqiu Zeng, Liang Tang, and Tao Li
  • Social media event summarization using Twitter streams
  • Chao Shen and Tao Li
  • Introduction
  • Tao Li
  • Event generation: from logs to events
  • Liang Tang and Tao Li
  • Optimizing system monitoring configurations
  • Liang Tang and Tao Li
  • Event pattern mining
  • Chunqui Zeng and Tao Li
Control code
ocn921985964
Dimensions
unknown
Extent
1 online resource (xxv, 303 pages)
Form of item
online
Isbn
9781466568594
Note
Taylor & Francis
Specific material designation
remote
System control number
(OCoLC)921985964
Label
Event mining : algorithms and applications, edited by Tao Li
Publication
Copyright
Bibliography note
Includes bibliographical references (pages 283-303), and index
Color
mixed
Contents
  • Mining time lags
  • Chungiu Zeng, Liang Tang, and Tao Li
  • Log event summarization
  • Yexi Jiang and Tao Li
  • Data-driven applications in system management
  • Wubai Zhou, Chunqiu Zeng, Liang Tang, and Tao Li
  • Social media event summarization using Twitter streams
  • Chao Shen and Tao Li
  • Introduction
  • Tao Li
  • Event generation: from logs to events
  • Liang Tang and Tao Li
  • Optimizing system monitoring configurations
  • Liang Tang and Tao Li
  • Event pattern mining
  • Chunqui Zeng and Tao Li
Control code
ocn921985964
Dimensions
unknown
Extent
1 online resource (xxv, 303 pages)
Form of item
online
Isbn
9781466568594
Note
Taylor & Francis
Specific material designation
remote
System control number
(OCoLC)921985964

Library Locations

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      Albany, Auckland, 0632, NZ
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