Westphal C. Data Mining for Intelligence, Fraud and Criminal Detection

Wiley, 2015. — 400 p. — (Wiley and SAS business). Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more...

Wiley, 2008. – 1033 p. – ISBN: 047017921X, 9780470179215 If you’re seeking solutions to advanced and even esoteric problems, Advanced Analytical Models goes beyond theoretical discussions of modeling by facilitating a thorough understanding of concepts and their real-world applications—including the use of embedded functions and algorithms. This reliable resource will equip you...

Academic Press, 2009. — 864 p. — ISBN: 0123747651. Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA Gary Miner, StatSoft, Inc. , Tulsa, OK, USA Description The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book...

New York: CIMA Publishing, 2008. — 748 p. — ISBN: 0750686219, 9780750686211. This book brings together practical information on legislation, primary sources, codes and best practice guidance in one volume. A practical handbook for business directors who wish to minimise financial, legal and reputational risks. It combines all matters concerning corporate governance with due...

Wiley, 2009. — 360 p. — ISBN 978-0-470-41346-3. "The recent global economic crisis has brought home the need for realistic operational risk management as an important element of an organization's survival strategy in turbulent times. In Risk Management in Finance Dr. Tarantino and his coauthors provide an operational risk framework for the twenty-first-century organization by...

3rd ed. — Morgan Kaufmann, 2011. — 630 p. — ISBN 0123748569 Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the...