Pattern Discovery Using Sequence Data Mining by Pradeep Kumar

Pattern Discovery Using Sequence Data Mining by Pradeep Kumar

Sequential data from Web server logs, online transaction logs, and performance measurements is collected each day. This sequential data is a valuable source of information, as it allows individuals to search for a particular value or event and also facilitates analysis of the frequency of certain events or sets of related events. Finding patterns in sequences is of utmost importance in many areas of science, engineering, and business scenarios. Pattern Discovery Using Sequence Data Mining: Applications and Studies provides a comprehensive view of sequence mining techniques and presents current research and case studies in pattern discovery in sequential data by researchers and practitioners. This research identifies industry applications introduced by various sequence mining approaches.

Dr. Anish Sachdeva is Professor in the Department of Industrial and Production Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He obtained his bachelors in Industrial Engineering from Regional Engineering College, Jalandhar in 1994; masters in Industrial Engineering from Punjab Technical University, Jalandhar in 2003; and his Ph.D from IIT Roorkee in 2008. He has published more than 100 research articles in international journals and conferences. His academic activities include serving as a peer reviewer in journals, acting as session chair in many international conferences, and conducting a number of training programs. His areas of interest include reliability and maintenance engineering, advanced machining, supply chain management, stochastic modeling, and system simulation. Dr. Pradeep Kumar is Professor in the Department of Mechanical & Industrial Engineering at Indian Institute of Technology, Roorkee. He obtained his bachelors (Industrial Engineering) in 1982; masters (Production Engineering) in 1989; and Ph.D. in Manufacturing and Production Engineering in 1994, all from the University of Roorkee. He has been a visiting faculty at West Virginia University, Wayne State University, AIT Bangkok, and King Fahd University of Petroleum and Minerals, Saudi Arabia. He served at the Delhi Technological University as Vice-Chancellor during 2014-15. He has published around 580 research papers in international and national journals, and conference proceedings. Dr. Kumar has completed 43 consultancy projects of various organizations, and 18 sponsored research projects in India and 1 sponsored project in USA. He also has 4 patent disclosures. His research interests include advanced manufacturing processes, microwave joining of metals, metal casting, industrial engineering, supply chain management, quality engineering, and production and operations management. Dr. Om Prakash Yadav is Professor and Interim Department Chair, Industrial and Manufacturing Engineering, North Dakota State University, Fargo. He obtained his bachelors in Mechanical Engineering from Malviya National Institute of Technology, Jaipur in 1986; masters in Industrial Engineering from National Institute of Industrial Engineering, Bombay in 1992; and Ph.D. in Industrial and Manufacturing Engineering from Wayne State University, Detroit in 2002. He has published more than 120 scientific papers in international journals and conferences, and edited more than 15 books and proceedings. He has successfully completed nearly 30 fully funded research and consultancy projects. His research interests include quality and reliability engineering, production and operations management, supply chain (logistics), inventory modeling, lean manufacturing, quantitative modeling, statistical analysis, fuzzy logic, and neural networks.

SKU	Unavailable
ISBN 13	9781613500569
ISBN 10	1613500564
Title	Pattern Discovery Using Sequence Data Mining
Author	Pradeep Kumar
Condition	Unavailable
Binding Type	Hardback
Publisher	Business Science Reference
Year published	2011-09-30
Number of pages	286
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.