Event Mining
Algorithms and Applications
Published on 15. October 2015
332 pages
978-1-4665-6859-4 (ISBN)
Description
With a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT service and system management. It covers different components in the data-driven framework, from system monitoring and event generation to pattern discovery and summarization. The book explores recent developments in event mining, such as new clustering-based approaches, as well as various applications of event mining, including social media.
More details
Series
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Researchers, practitioners, and graduate students interested in event mining, data mining, and machine learning.
Illustrations
129 s/w Abbildungen, 62 s/w Tabellen
129 b/w images and 62 tables
File size
14,40 MB
ISBN-13
978-1-4665-6859-4 (9781466568594)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
06/2020
1st Edition
Chapman & Hall/CRC
€70.00
Shipment within 15-20 days
Book
10/2015
1st Edition
CRC Press
€148.55
Shipment within 15-20 days
Person
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.
Content
Introduction. Event Generation and System Monitoring. Pattern Discovery and Summarization. Applications.
