Data mining and knowledge discovery approaches based on rule induction techniques - Info and Reading Options
By Evangelos Triantaphyllou
“Data mining and knowledge discovery approaches based on rule induction techniques” Metadata:
- Title: ➤ Data mining and knowledge discovery approaches based on rule induction techniques
- Author: Evangelos Triantaphyllou
“Data mining and knowledge discovery approaches based on rule induction techniques” Subjects and Themes:
- Subjects: ➤ Data mining - Database management - Knowledge acquisition (expert systems) - Computer science - Information storage and retrieval systems - Operations research - Information Storage and Retrieval - Mathematical Programming Operations Research - Operations Research/Decision Theory
Edition Identifiers:
- The Open Library ID: OL18708730W
AI-generated Review of “Data mining and knowledge discovery approaches based on rule induction techniques”:
"Data mining and knowledge discovery approaches based on rule induction techniques" Description:
The Open Library:
This book will give the reader a perspective into the core theory and practice of data mining and knowledge discovery (DM&KD). Its chapters combine many theoretical foundations for various DM&KD methods, and they present a rich array of examples—many of which are drawn from real-life applications. 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. Audience 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.
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