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Business Modeling and Data Mining Dorian Pyle

Business Modeling and Data Mining By Dorian Pyle

Business Modeling and Data Mining by Dorian Pyle


Summary

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.

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Business Modeling and Data Mining Summary

Business Modeling and Data Mining by Dorian Pyle

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.

About Dorian Pyle

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

Table of Contents

Part I: A Map of the Territory: The World, Knowledge and Models. Translating Experience. Modeling and Mining: Putting It Together. Part II: Business Modeling: What is a Model? Framing Business Models. Getting the Right Model. Getting the Model Right. Deploying the Model. Part III: Data Mining: Getting Started. What Mining Tools Do. Getting the Initial Model: Basic Practices of Data Mining. Improving the Mined Model. Deploying the Mined Model. Part IV: Methodology: Methodology. Resources.

Additional information

CIN155860653XVG
9781558606531
155860653X
Business Modeling and Data Mining by Dorian Pyle
Used - Very Good
Paperback
Elsevier Science & Technology
2003-05-17
650
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

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