Event Mining: Algorithms and Applications

by Tao Li (Editor)

Overview

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.

Product Details

ISBN-13:	9781040057568
Publisher:	CRC Press
Publication date:	10/15/2015
Series:	Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	332
File size:	3 MB

About the Author

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.

Table of Contents

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