15 Data Mining & Data Analysis Probabilistic Search for Tracking Targets Theory and Modern Applications Irad Ben-Gal, Eugene Kagan Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach to known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search Eugene Kagan Irad Ben-Gal Probabilistic Search for Tracking Targets Theory and Modern Applications uncertainty under incomplete information, probabilistic search schemes, observation errors, group testing, search games, distribution of search efforts, and single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence, and heuristic informationseeking methods. Hardcover 346 pages 2013 ISBN 978-0-470-97393-6 USD $105.00 / CAD $116.00 / £65.00 / €83.90 Biological Knowledge Discovery Handbook Preprocessing, Mining and Postprocessing of Biological Data Mourad Elloumi, Albert Y. Zomaya Molecular biology is undergoing exponential growth in both the volume and complexity of biological data. This book offers the first comprehensive overview of data mining, preprocessing, postprocessing, and storage for biological data. It surveys the latest approaches and techniques in biological KDD, presenting a vast yet detailed view of the most important advances in the field. Combining sound theory, technical depth, and practical applications in molecular biology, Biological Knowledge Discovery Handbook is a unique resource for practitioners and researchers in computer science, life science, and mathematics. Hardcover 1192 pages 2014 ISBN 978-1-118-13273-9 USD $175.00 / CAD $193.00 / £117.00 / €152.00 Computational Statistics Second Edition Geof H. Givens, Jennifer A. Hoeting Computational Statistics, Second Edition, continues to serve as a comprehensive guide to the theory and practice of statistical computing. Like its predecessor, the new edition spans a broad range of modern and classic topics, including optimization, integration, Monte Carlo methods, bootstrapping, density estimation, and smoothing. Wiley Series in Computational Statistics Computational Statistics Second Edition GEOF H. GIVENS JENNIFER A. HOETING Algorithms are explained both conceptually and by using step-bystep descriptions, and are illustrated with detailed examples and exercises. Hardcover 496 pages 2012 ISBN 978-0-470-53331-4 USD $125.00 / CAD $138.00 / £83.50 / €109.00 An Introduction to Statistical Computing A Simulation-Based Approach Jochen Vos An Introduction to Statistical Computing introduces the classical topics of random number generation and Monte Carlo methods. It also includes some advanced methods such as the reversible jump Markov chain Monte Carlo algorithm and modern methods such WILEY SERIES I N COMPUTATIONAL STATISTICS Jochen Voss AN INTRODUCTION TO STATISTICAL COMPUTING A SIMULATION-BASED APPROACH as approximate Bayesian computation and multilevel Monte Carlo techniques. Hardcover 396 pages 2013 ISBN 978-1-118-35772-9 USD $85.00 / CAD $94.00 / £50.00 / €65.90 Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Third Edition Gordon S. Linoff, Michael J. A. Berry More than 50% new and revised, this significant update shows you how to harness the TIMELY. PRACTICAL. RELIABLE. Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Gordon S. Linoff Michael J. A. Berry Third Edition newest data mining methods and techniques to solve common business problems. The authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, estimating credit risk, preparing data for analysis, and creating the necessary infrastructure for data mining. Paperback 888 pages 2011 ISBN 978-0-470-65093-6 USD $50.00 / CAD $60.00 / £33.99 / €43.90 Data Mining for Genomics and Proteomics Analysis of Gene and Protein Expression Data Darius M. Dziuda Using pragmatic examples and a complete case study, this book shows how to maximize the chance of extracting new and useful biomedical knowledge from data. An excellent resource for those involved with gene or protein expression data in a variety of settings. DATA MINING FOR GENOMICS AND PROTEOMICS ANALYSIS OF GENE AND PROTEIN EXPRESSION DATA DARIUS M. DZIUDA Hardcover 336 pages 2010 ISBN 978-0-470-16373-3 USD $98.95 / CAD $108.95 / £61.50 / €77.90 Problem Solving and Data Analysis Using Minitab® A Clear and Easy Guide to Six Sigma Methodology Rehman M. Khan Problem Solving and Data Analysis Using Minitab® presents example-based learning to aid readers in understanding how to use Minitab 16 for statistical analysis and problem Rehman M. Khan Problem Solving and Data Analysis using Minitab A clear and easy guide to Six Sigma methodology solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Hardcover 484 pages 2013 ISBN 978-1-118-30757-1 USD $80.00 / CAD $88.00 / £50.00 / €65.90 wiley.com/go/mathematics
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