Event Mining
(eBook)
Author
Contributors
Published
Chapman and Hall/CRC, 2015.
Edition
1st edition.
Physical Desc
1 online resource (332 pages)
Status
Description
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Subjects
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Format
eBook
Language
English
UPC
KE78457, 9781466568594
Notes
Description
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 sys.
Issuing Body
Made available through: Safari, an O'Reilly Media Company.
Local note
O'Reilly,O'Reilly Online Learning Platform: Academic Edition (EZproxy Access)
Citations
APA Citation, 7th Edition (style guide)
Li, T. (2015). Event Mining (1st edition.). Chapman and Hall/CRC.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Li, Tao. 2015. Event Mining. Chapman and Hall/CRC.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Li, Tao. Event Mining Chapman and Hall/CRC, 2015.
MLA Citation, 9th Edition (style guide)Li, Tao. Event Mining 1st edition., Chapman and Hall/CRC, 2015.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
