Event Mining : Algorithms and Applications Hardback
Edited by Tao (Florida International University, Miami, USA) Li
Part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series series
Hardback
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 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.
Information
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Out of stock
- Format:Hardback
- Pages:304 pages, 62 Tables, black and white; 129 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:20/10/2015
- Category:
- ISBN:9781466568570
Information
-
Out of stock
- Format:Hardback
- Pages:304 pages, 62 Tables, black and white; 129 Illustrations, black and white
- Publisher:Taylor & Francis Inc
- Publication Date:20/10/2015
- Category:
- ISBN:9781466568570
