Data Mining And Knowledge Discovery Approaches Based On Rule Induction Techniques Pdf

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Rule induction

Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts. The intended audience for this book includes graduate students studying data mining who have some background in mathematical logic and discrete optimization, as well as researchers and practitioners in the same area. Skip to main content Skip to table of contents. Advertisement Hide. This service is more advanced with JavaScript available.

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Triantaphyllou Published Computer Science. This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery DM and KD.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (eBook, PDF)

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It seems that you're in Germany. We have a dedicated site for Germany. Most of the theoretical developments discussed are accompanied by an extensive empirical analysis, which should give the reader both a deep theoretical and practical insight into the subjects covered. The book presents the combined research experiences of its 40 authors gathered during a long search in gleaning new knowledge from data. The last page of each chapter has a brief biographical statement of its contributors, who are world-renowned experts. The intended audience for this book includes graduate students studying data mining who have some background in mathematical logic and discrete optimization, as well as researchers and practitioners in the same area.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Springer data mining and knowledge discovery approaches based on rule induction techniques ISBN x. Data mining and knowledge discovery via logic based methods theory, algorithms, and applications triantaphyllou 06 28 20 0. IT training data mining and knowledge discovery via logic based methods theory, algorithms, and applications triantaphyllou 06 28 85 0.

Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data. Data mining in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures.

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  1. Г‰lГ©onore L.

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