Business Modeling and Data

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• Product ID: R45017560

Business Modeling and Data

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• Product ID: R45017560

Package Size

23.5cm x 18.7cm x 3.7cm

Gross Weight

1.217kg

Author

Dorian Pyle

Format

Paperback

Pages

650

Width

187.00 mm

Height

235.00 mm

Thickness

37.00 mm

ISBN

9781558606531

ISBN10

155860653X

BISAC Category Code

COM004000

BIC Subject Category

KM

Dewey

005.741

LC Classification

QA76.9.D34

Nielsen BookScan Product Class

S10.2

BIC Subject Category

UXAC

Publisher

Elsevier Science & Technology

Publication date

17 May 2003

Country

United States

City

San Francisco

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	Demonstrates how real world business problems can be formulated so that data mining can answer them. This work explains how to understand.. Buy 1 at wholesale price, make ~ 180% profit by reselling at market price ?up to R1900.

Product Features

• · Teaches how to discover, construct and refine models that are useful in business situations · Teaches how to design, discover and develop the data necessary for mining · Provides a practical approach to mining data for all business situations · Provides a comprehensive, easy-to-use, fully interactive methodology for building models and mining data · Provides pointers to supplemental online resources, including a downloadable version of the methodology and software tools.

FAQ

About this book, the "Business Modeling and Data" author(s):

Dorian Pyle is Chief Scientist and Founder of PTI (www.pti.com), which develops and markets PowerhouseT 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.

Description

Demonstrates how real world business problems can be formulated so that data mining can answer them. This work explains how to understand both the strategic and tactical aspects of a business problem, identify where the key leverage points are and determine where quantitative techniques of analysis - such as data mining - can yield most benefit. http://www.dropshippers.co.za/

"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 http://www.dropshippers.co.za/

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