Business Modeling and Data Mining

Dorian Pyle

ISBN 10: 155860653X / ISBN 13: 9781558606531

Edité par Amsterdam, Boston, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sydney & Tokyo: Morgan Kaufmann Publishers, 2003

A propos de cet article

Condition Notes: Last few leaves a little dog-eared at the lower corner otherwise a nice copy.; Paperback. ; Measures 9¼" x 7½" (1.5 kg); pp (xxvi) 692; Index; Contains: Black & white photographs; Charts; Graphs; Diagrams; || The book is on the shelf, ready to be appropriately packed, and posted from the pastoral paradise of Peasedown St. John, Bath, by a real bookseller in a real book shop - with my personal guarantee and beady eye on the Consumer Contracts Regulations. REMEMBER! Buying my copy means the book shop Jack Russells get their supper! My Book #180403 ||.

N° de réf. du vendeur 180403

Détails bibliographiques

• Titre: Business Modeling and Data Mining
• Éditeur: Amsterdam, Boston, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sydney & Tokyo: Morgan Kaufmann Publishers
• Date de parution: 2003
• ISBN à 10 chiffres: 155860653X
• ISBN à 13 chiffres: 9781558606531
• Reliure: Paperback (No Dust Wrapper.)
• État de l'article: Very Good
• Catalogues du vendeur:
  • Business & Finance

A propos de ce titre

Synopsis

Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem. This book articulately explains how to understand both the strategic and tactical aspects of any business problem, identify where the key leverage points are and determine where quantitative techniques of analysis - such as data mining - can yield most benefit. It addresses techniques for discovering how to turn colloquial expression and vague descriptions of a business problem first into qualitative models and then into well-defined quantitative models (using data mining) that can then be used to find a solution. The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations.

À propos de l?auteur

Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com) which develops and markets Powerhouse predictive and explanatory analytics software. Dorian has over 20 years experience in artificial intelligence and machine learning techniques which are used in what is known today as data mining or "predictive analytics" He has applied this knowledge as a consultant with Knowledge Stream Partners, Xchange, Naviant, Thinking Machines, and Data Miners and with various companies directly involved in credit card marketing for banks and with manufacturing companies using industrial automation. In 1976 he was involved in building artificially intelligent machine learning systems utilizing the pioneering technologies that are currently known as neural computing and associative memories. He is current in and familiar with using the most advanced technologies in data mining including: entropic analysis (information theory) chaotic and fractal decomposition, neural technologies, evolution and genetic optimization, algebra evolvers, case-based reasoning, concept induction and other advanced statistical techniques.