By Dorian Pyle
Enterprise Modeling and information Mining demonstrates how genuine international enterprise difficulties could be formulated in order that info mining can solution them. The suggestions and methods offered during this e-book are the basic construction blocks in knowing what types are and the way they are often used essentially to bare hidden assumptions and wishes, make certain difficulties, detect facts, be certain expenses, and discover the total area of the matter. This publication articulately explains tips on how to comprehend either the strategic and tactical points of any enterprise challenge, establish the place the main leverage issues are and ascertain the place quantitative suggestions of research -- resembling information mining -- can yield such a lot gain. It addresses recommendations for locating tips on how to flip colloquial expression and obscure descriptions of a company challenge first into qualitative versions after which into well-defined quantitative types (using information mining) that could then be used to discover an answer. The e-book completes the method via illustrating how those findings from facts mining may be changed into strategic or tactical implementations. Â· Teaches find out how to detect, build and refine versions which are worthwhile in enterprise occasions Â·
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Extra resources for Business Modeling and Data Mining
Table of Contents Although the simplified descriptions here are metaphors and models of models, it is important for Business Modeling and Data modelers to be aware thatMining these simple models represent real-world phenomena. 4, we Preface will examine system models, a class of symbolic knowledge structures, in far more detail. System Part I - A map Map of the Territory models a restricted range of objects and interactions. But just as the more general mappings Chapter - The World, Knowledge, and Models exhibit 1 complex behavior under change, so too do system models.
The modeler, on the other hand, absolutely must be cognizant of the qualitative framework into which the quantitative projection has to fit. Whereas the miner works with a quantitative representation of the world, the modeler has to include relevant qualitative experience in any successful model. So it is that data modeling works with qualitative symbols. It also works with data that is essentially analytic in nature because the act of defining features, measuring states of nature, and recording those measurements is an inherently analytic activity.
Quantitative analysis is only a specialized form of Chapter - Deploying the Model language for expressing Part III - Data Mining some particular ideas about the qualitative experience of the world. Translating the quality of Chapter 9 - Getting Startedan experience into a language of quantities does not change the essential nature of the experience, nor is one form of expression inherently any better than the other. Chapter 10 - What Mining Tools Do Chapter 11 -an Getting the Initial Model:does Basicseem Practices Mining However, algebraic expression to beofinData some way inherently different from, say, a Chapter - Improving written 12 contact report, the andModel of course it is.