Download Data Mining Series Brochure - Central Connecticut State University

Wiley Series on Methods and Applications in
Data Mining
Daniel T. Larose, Series Editor
The field of data mining is growing rapidly. Many people from a wide variety of backgrounds
would like to learn about data mining. Thus, there is a need for a set of reference/texts whose aim
is to provide lucid, hands-on demonstrations of the growing variety of data mining methods and
applications. Our vision for the Wiley Series on Methods and Applications in Data Mining is to publish
books that focus on actually doing data mining, in addition to research and theory.
The list of topics includes (but is not limited to) the following areas:
 Analytical Customer Relationship
 Biomarker Discovery
Management
 Case Studies in Data Mining
 Data Visualization
 Data Mining for the Insurance Industry
 Data Mining for Business
 Data Mining in Drug Discovery
 Machine Learning
 Data Mining for Finance
 Web Usage Mining
 Data Mining for Homeland Security
 Data Mining for Market Researchers
 Fraud Detection Using Data Mining
Techniques
Interested authors should submit proposals to the Series Editor
Daniel T. Larose, Series Editor, received his PhD in statistics from the University of
Connecticut. A professor of statistics and data mining at Central Connecticut State University, he
developed and directs Data Mining@CCSU, the world's first online master of science program in
data mining. He also provides data mining consulting and statistical consulting.
Email: [email protected]
Please view http://www.wiley.com/WileyCDA/Section/id-301841.html for proposal
guidelines
For further information, please contact Paul Petralia, Senior Editor, John Wiley & Sons • [email protected]
Use promo code AUT27 to save
20% on series titles, forthcoming
books, and related titles!
Wiley Series on Methods and Applications in
Data Mining
Titles in the Series
Practical Text Mining with Perl
Roger Bilisoly • ISBN 978-0-470-17643-6 • August 2008 • $89.95
This book establishes the methods and algorithms, but more importantly provides the reader with the
means to actually perform text mining tasks using readily accessible open source tools.
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Zdravko Markov and Daniel Larose • ISBN 978-0-471-66655-4 • April 2007 • 218 pages • $74.50
This book introduces the reader to methods of data mining on the web, including uncovering patterns in
web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage
(modeling, sequence analysis, performance).
Data Mining Methods and Models
Daniel Larose • ISBN 978-0-471-66656-1 • January 2006 • 344 pages • $101.50 • Wiley-IEEE Press
With its emphasis on learning by doing, this is an excellent textbook for students in business, computer
science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field.
Discovering Knowledge in Data: An Introduction to Data Mining
Daniel Larose • ISBN 978-0-471-66657-8 • November 2004 • 240 pages • $87.95
This book provides both the practical experience and the theoretical insight needed to reveal valuable
information hidden in large data sets.
Forthcoming Titles
Data Mining for Genomics and Proteomics: Analysis of Gene and Protein Expression Data
Darius Dziuda • ISBN 978-0-470-16373-3 • Fall 2009
This book focuses on practical methods for carrying out data mining in genomics and proteomics and shows the
diverse user of these methods how to maximize the chance of extracting new and useful biomedical knowledge from
available data.
Ordering Information
In North America
Phone:
1-877-762-2974
Fax:
1-800-597-3299
Email:
[email protected]
Mail
John Wiley & Sons, Inc.
Customer-Care-Wiley
10475 Crosspoint Blvd
Indianapolis, IN 46256
Outside North America
Phone:
+44 (0) 1243 779 777
Fax:
+44 (0) 1243 843 296
Email:
[email protected]
Use promo code AUT27 to save 20% on series titles,
forthcoming books, and related titles!