By Dorian Pyle
Company Modeling and knowledge Mining demonstrates how actual international enterprise difficulties might be formulated in order that facts mining can solution them. The ideas and strategies offered during this publication are the fundamental construction blocks in figuring out what versions are and the way they are often used essentially to bare hidden assumptions and desires, ensure difficulties, realize information, confirm expenditures, and discover the entire area of the matter. This booklet articulately explains tips on how to comprehend either the strategic and tactical features of any company challenge, establish the place the most important leverage issues are and ascertain the place quantitative recommendations of study -- equivalent to info mining -- can yield so much gain. It addresses concepts for locating the best way to flip colloquial expression and imprecise descriptions of a enterprise challenge first into qualitative versions after which into well-defined quantitative types (using information mining) that may then be used to discover an answer. The publication completes the method via illustrating how those findings from facts mining should be become strategic or tactical implementations. Â· Teaches tips to realize, build and refine types which are helpful in enterprise occasions Â·
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Additional info for Business Modeling and Data Mining
3 Recognizing Patterns Patterns, at least as far as a modeler is concerned, are regularities in the world that represent an abstraction. Actually, at least as far as discovering abstractions goes, the last statement seems to be backwards. The worldly events come first, leading to the discovery of the abstractions. This point brings up two issues in recognizing patterns: recognizing a new pattern and recognizing an existing pattern. Business Modeling and Data Mining by Dorian Pyle The latter is easier to address first because some form of template exists to compare to worldly Morgan Kaufmann Publishers © 2003 (650 pages) events.
Chapter - Getting thecause Initial the Model: Practices ofcan Databe Mining Also, modelers need to beModel aware of how to implement, monitor, and ensure the performance of the Chapter 12 - Improving the changes that the process is controlled. The next few sections describe in detail the types of models Chapter 13so - Deploying the Mined Model thatIV modelers work with and Part - Methodology the characteristics of how the models are changed. 1 Symbols and Symbolic Knowledge M II M III - Mining Methodology All of the models described here are founded on symbolic knowledge.
This book 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. 0" circumstances. It's done through a process called abstraction, which is a mechanism for turning Table of Contents observations into numbers. As apparently natural and easy as the process seems, it doesn't just Business Modeling and Data Mining not something that occurs separately from our doing of it.