Event Mining: Algorithms and Applications

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Tao Li (Florida International University, Miami, USA) Chang-Shing Perng (IBM TJ. Watson Research Center, Yorktown Heights, New York, USA)

Event Mining

Algorithms and Applications

Tao Li (Florida International University, Miami, USA), Chang-Shing Perng (IBM TJ. Watson Research Center, Yorktown Heights, New York, USA)

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English

CRC Press Inc
20 October 2015

Probability & statistics; Automatic control engineering; Data mining; Machine learning

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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.

Edited by: Tao Li (Florida International University Miami USA), Chang-Shing Perng (IBM TJ. Watson Research Center, Yorktown Heights, New York, USA)
Imprint: CRC Press Inc
Country of Publication: United States
Volume: 38
Dimensions: Height: 234mm, Width: 156mm, Spine: 23mm
Weight: 635g
ISBN: 9781466568570
ISBN 10: 1466568577
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Pages: 304
Publication Date: 20 October 2015
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

Introduction. Event Generation and System Monitoring. Pattern Discovery and Summarization. Applications.

Dr. Tao Li is a professor and Graduate Program Director in the School of Computing and Information Sciences at Florida International University (FIU) and a professor in the School of Computer Science at Nanjing University of Posts and Telecommunication. He is on the editorial boards of ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Knowledge and Data Engineering, and Knowledge and Information System Journal. He has received numerous honors, including an NSF CAREER Award, IBM Faculty Research Awards, an FIU Excellence in Research and Creativities Award, and IBM Scalable Data Analytics Innovation Award and Mentorship Awards. His research interests are in data mining, information retrieval, and computing system management. He received a PhD in computer science from the University of Rochester.