Free Ebook BookBusiness Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)

[Free.v66J] Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)

[Free.v66J] Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)

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Book Details :
Published on: 2003-05-17
Released on: 2003-05-17
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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.·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. 2 Introducing Oracle Data Mining - Oracle Help Center 2 Introducing Oracle Data Mining. This chapter introduces the basics you will need to start using Oracle Data Mining. This chapter includes the following sections: Data Mining Techniques - Statistics Textbook Data Mining. Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as "big ... 18. The WEKA Data Mining Software: an Update More than twelve years have elapsed since the first public release of WEKA. In that time the software has been rewritten entirely from scratch evolved substantially ... Data quality in context - dl.acm.org Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and ... Tutorials KDD 2015 10-13 August 2015 Sydney Eli Upfal is a professor of computer science at Brown University where he was also the department chair from 2002 to 2007. Prior to joining Brown in 1998 he ... Data acquisition and integration techniques Find data mining methods and techniques including methods for data acquisition and data integration. Learn how to gather from different and types of data sources ... Wang Group: Modeling Objects Concepts Aesthetics and ... about us. The mission of our group is to advance knowledge related to the analysis management and making sense of large and complex visual data and to contribute ... - Lynda Mark DiFranco is a mechatronics engineer who graduated from the University of Waterloo. He spends most of his time at work and home building apps on the iOS platform ... Business process management - Wikipedia Business process management (BPM) is a field in operations management that focuses on improving corporate performance by managing and optimizing a company's business ... Database - Wikipedia A database is an organized collection of data. It is the collection of schemas tables queries reports views and other objects. The data are typically organized ...
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