Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining

Soukup, Tom

ISBN 10: 0471149993 / ISBN 13: 9780471149996

Edité par John Wiley & Sons, 2002

A propos de cet article

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

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Détails bibliographiques

• Titre: Visual Data Mining w/WS: Techniques and Tools for Data Visualization and Mining
• Éditeur: John Wiley & Sons
• Date de parution: 2002
• Langue: anglais
• ISBN à 10 chiffres: 0471149993
• ISBN à 13 chiffres: 9780471149996
• Reliure: Couverture souple
• État de l'article: Like New

A propos de ce titre

Synopsis

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining tools introduce a world of possibilities to a much broader and non-technical audience to help them solve common business problems.* Explains how to select the appropriate data sets for analysis, transform the data sets into usable formats, and verify that the sets are error-free* Reviews how to choose the right model for the specific type of analysis project, how to analyze the model, and present the results for decision making* Shows how to solve numerous business problems by applying various tools and techniques* Companion Web site offers links to data visualization and visual data mining tools, and real-world success stories using visual data mining

À propos de l?auteur

TOM SOUKUP has more than fifteen years of experience in data management and analysis. He is currently with Konami Gaming, Inc., where he is involved in data mining and data warehousing projects for the gaming industry. IAN DAVIDSON, PhD, has worked on commercial data mining applications, including insurance claim fraud detection, product cross-sell, customer retention, and credit card fraud detection. He is currently an Assistant Professor of Computer Science at the State University of New York, Albany.