Event Mining: Algorithms and Applications

Tao Li

© 2015 - Chapman and Hall/CRC
Published October 20, 2015
Reference - 304 Pages - 129 B/W Illustrations
ISBN 9781466568570 - CAT# K16395
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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  • Shows how data mining and machine learning techniques are used in the context of event mining
  • Focuses on different components in the data-driven framework, from system monitoring and event generation to pattern discovery and summarization
  • Covers recent developments in event mining, such as clustering-based approaches for generating system events from log data, solutions to optimize monitoring configurations, algorithms for discovering temporal patterns and summarizing chaotic temporal data, and techniques for performing problem diagnosis and resolution recommendation
  • Explores various applications of event mining, including social media


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.


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