| Description |
1 online resource (332 pages) |
| 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 sys |
| Notes |
Copyright © Chapman and Hall/CRC 2016 2016 |
| Issuing Body |
Made available through: Safari, an O'Reilly Media Company |
| Notes |
Online resource; Title from title page (viewed October 15, 2015) |
| Subject |
Data logging.
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Data mining.
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Data Mining
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Data logging.
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Data mining.
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| Genre/Form |
e-books.
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Livres numériques.
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| Form |
Electronic book
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| Author |
Safari, an O'Reilly Media Company
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