Contrast Data Mining: Concepts, Algorithms, And Applications Hardcover English - 7 September 2012
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| Publisher | Taylor & Francis Ltd |
| ISBN 13 | 9781439854327 |
| ISBN 10 | 1439854327 |
| Book Subtitle | Concepts, Algorithms, And Applications |
| Book Description | A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems, Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and other fields. The book not only presents concepts and techniques for contrast data mining, but also explores the use of contrast mining to solve challenging problems in various scientific, medical, and business domains. , , , Learn from Real Case Studies of Contrast Mining Applications, In this volume, researchers from around the world specializing in architecture engineering, bioinformatics, computer science, medicine, and systems engineering focus on the mining and use of contrast patterns. They demonstrate many useful and powerful capabilities of a variety of contrast mining techniques and algorithms, including tree-based structures, zero-suppressed binary decision diagrams, data cube representations, and clustering algorithms. They also examine how contrast mining is used in leukemia characterization, discriminative gene transfer and microarray analysis, computational toxicology, spatial and image data classification, voting analysis, heart disease prediction, crime analysis, understanding customer behavior, genetic algorithms, and network security. |
| Editorial Review | This book, edited by two leading researchers on contrast mining, Professors Guozhu Dong and James Bailey, and contributed to by over 40 data mining researchers and application scientists, is a comprehensive and authoritative treatment of this research theme. It presents a systematic introduction and a thorough overview of the state of the art for contrast data mining, including concepts, methodologies, algorithms, and applications. ... the book will appeal to a wide range of readers, including data mining researchers and developers who want to be informed about recent progress in this exciting and fruitful area of research, scientific researchers who seek to find new tools to solve challenging problems in their own research domains, and graduate students who want to be inspired on problem solving techniques and who want to get help with identifying and solving novel data mining research problems in various domains., -From the Foreword by Jiawei Han, University of Illinois, Urbana-Champaign, USA |
| About the Author | Professor John A Murphy, Alfred McAlpine Professor of Customer Management, Manchester Business School, Head of Development, Faculty of Humanities, combines the roles of academic and international consultant specialising in service quality management and customer retention. he has held a series of senior management positions both in Ireland and the UK.At Manchester Business School he has established a unique cohort of PhD scholarship students in conjunction with leading UK companies. This is the largest doctoral research group in this specialist are in Europe. He is a regular contributor to programmes at the Executive Development Centre. He also chairs and co-directs the Customer Management Leadership Group.Professor Murphy holds five professional fellowships and is a member of the International Academy for Quality, whose members are chosen from the most active protagonists of quality in the world.He is the author of four books, the most recent of which, The Lifebelt: the Definitive Guide to Managing Customer retention, was published in 2001.Dr. Jamie Burton is a lecturer in Marketing at Manchester Business School and Director of Research for the Customer Management Leadership Group. he won the Yorkshire Water doctoral research scholarship, which allowed him to study for his PhD. He has published research in the areas of customer behaviour, satisfaction and loyalty. Dr Burton is also a regular contributor to the BBC GMR breakfast show business news.Robin Gleaves and Jan Kitshoff met whilst at Manchester Business School and founded their consultancy in order to develop and implement their thinking in the field of customer profitability. They were involved in a issue and this is where the relationship withy Hon and Jamie began. |
| Language | English |
| Editor | Guozhu Dong, James Bailey |
| Publication Date | 7 September 2012 |
| Number of Pages | 434 |
Contrast Data Mining: Concepts, Algorithms, And Applications Hardcover English - 7 September 2012
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