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.-
Data Modeling Essentials
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Data Mining
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Business Process Change
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Joe Celko's SQL for Smarties
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Enterprise Knowledge Management
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Joe Celko's SQL Puzzles and Answers
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IT Manager's Handbook
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Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL
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Information Modeling and Relational Databases
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Distributed Algorithms
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TCP/IP Sockets in Java
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SQL
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Database Design for Smarties
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Querying XML
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Principles of Transaction Processing for the Systems Professional
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Data Mining: Concepts and Techniques
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Relational Database Design Clearly Explained
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Building an Object-Oriented Database System
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Java Data Mining: Strategy, Standard, and Practice
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Data Mining, Southeast Asia Edition
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XML for Data Architects
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Temporal Data & the Relational Model
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Atomic Transactions
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Engineering Global E-Commerce Sites
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Data Warehousing And Business Intelligence For e-Commerce
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The Object Data Standard
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Maintaining and Evolving Successful Commercial Web Sites
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Advanced SQL:1999
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Data Warehousing
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Object Database Standard
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Database Modeling and Design
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Camelot and Avalon
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Managing Reference Data in Enterprise Databases
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A Complete Guide to DB2 Universal Database
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Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
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.
| SKU | Unavailable |
| ISBN 13 | 9781558606531 |
| ISBN 10 | 155860653X |
| Title | Business Modeling and Data Mining |
| Author | Dorian Pyle |
| Series | The Morgan Kaufmann Series In Data Management Systems |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Elsevier Science & Technology |
| Year published | 2003-05-17 |
| Number of pages | 650 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |