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Tuesday, August 17, 2021 | History

9 edition of Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing) found in the catalog.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing)

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  • 15 Currently reading

Published by Springer .
Written in English


Edition Notes

ContributionsEvangelos Triantaphyllou (Editor), Giovanni Felici (Editor)
The Physical Object
Number of Pages748
ID Numbers
Open LibraryOL7445589M
ISBN 10038734294X
ISBN 109780387342948


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Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing) Download PDF EPUB FB2

Book Title Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques Editors. Evangelos Triantaphyllou; Giovanni Felici; Series Title Massive.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou and Giovanni Felici (Editors) An edited book published. Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques Volume 6 of Massive Computing: Editors: Evangelos Triantaphyllou, Giovanni Felici:.

viii Data Mining Knowledge Discovery Based on Rule Induction 1. Introduction 46 2. Some Background Information 49 3. Definitions and Terminology 52 4.

This book outlines the core theory and practice of data mining and knowledge discovery (DM KD) examining theoretical foundations for various methods, and Price: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing (6)): Triantaphyllou, Evangelos, Felici, Giovanni: 45(1).

Unformatted text preview: DATA MINING AND KNOWLEDGE DISCOVERY APPROACHES BASED ON RULE INDUCTION TECHNIQUES DATA MINING AND KNOWLEDGE DISCOVERY.

Triantaphyllou, E.(), "The One Clause At a Time (OCAT) Approach to Data Mining and Knowledge Discovery," in: Data Mining and Knowledge Discovery. David Nettleton, in Commercial Data Mining, Rule Induction. Rule induction is a technique that creates ifelsethen-type rules from a set of input.

Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (published by Springer in the summer of ), which was co-edited by the author. The.

Evangelos Triantaphyllou Data Mining Knowledge Discovery Approaches Based On Rule Induction Techniques. This book outlines the core theory and practice of. Evangelos Triantaphyllou - Data Mining Knowledge Discovery Approaches Based On Rule Induction Techniques Download, who are world-renowned experts.

Data mining and knowledge discovery approaches based on rule induction techniques by Evangelos Triantaphyllou, Giovanni Felici, JSpringer. Evangelos Triantaphyllou Data Mining Knowledge Discovery Approaches Based On Rule Induction Techniques Download at This book.

This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule Brand: Springer US.

  Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Evangelos Triantaphyllou,available at Book Depository with free. Triantaphyllou, E. and G. Felici (Eds. ), Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques, Massive Computing Series, Springer Cited by: 3.

Buy Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques: 6 (Massive Computing) Softcover reprint of hardcover 1st s: 1.

Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and Estimated Reading Time: 6 mins.

LadenData Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques by Triantaphyllou Evangelos. Einer der vielen verfügbaren. GB Instant: This product will available in 24h later after you pay. Sale Page: NA. Data Mining Technology Report contains a clear, non-technical overview of data mining techniques and their role in knowledge discovery, PLUS detailed.

From the reviews: This is a comprehensive book about knowledge discovery methods. the book is highly recommended to final year undergraduate students Cited by: Data Mining (also known as Knowledge Discovery) technology helps businesses discover hidden data patterns and provides predictive information which can be.

Knowledge discovery and data mining can be very useful for the field of Artificial Intelligence in many areas, for example education, industry, commerce Author: Nitin Kumar, Sumika Jain, Kuldeep Chauhan.

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Knowledge discovery from knowledge bases is an important problem in the field of data mining because it can solve the problem of a lack of knowledge, which Estimated Reading Time: 6 mins. An overview of knowledge discovery database and data mining techniques has provided an extensive study on data mining techniques.

Data mining is useful Cited by: 9. This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms.

Both these areas have become increas ingly 5(2). Adel S. Elmaghraby, Mehmed M. Kantardzic, and Mark P. Wachowiak, Data Mining From Multimedia Patient Records, submitted in July for publication in the book ".

This course takes a multi-disciplinary approach to data mining. and knowledge discovery involving statistics, rule and tree induction, neural networks and. David Loshin, in Business Intelligence (Second Edition), Data Mining, Data Warehousing, Big Data.

Knowledge discovery is a process that requires a lot of. Data Mining and Knowledge Discovery in Databases is a rapidly growing area of research and application that builds on techniques and theories from many fields Author: T. Swarnalatha, V. Sireesha. Springer, p. Massive Computing Series, vol.

ISBN ISBN ISBN: This book will give the reader a. Evangelos Triantaphyllou studies Health Status, Health related Quality of Life, and Professional Practice. dba. Some people dont differentiate data mining from knowledge discovery. While others view data mining as an essential step in the process of knowledge Estimated Reading Time: 5 mins.

Knowledge discovery in databases, or data mining, is an important issue in the development of data- and knowledge-base systems.

An attribute-oriented. Abstract. This report contains papers from the second international conference on knowledge discovery and data mining. The general topics covered are: (a). Frequentist Regression MethodsAdvances in Data Mining.

Medical Applications, E-Commerce, Marketing, and Theoretical AspectsData MiningData Mining Techniques for. Important Data mining techniques are Classification, clustering, Regression, Association rules, Outer detection, Sequential Patterns, and prediction ; R-language .Focuses on 22 of data mining’s most practical algorithms and popular application samples Features 36 case studies and end-of-chapter exercises unique to the .Find many great new & used options and get the best deals for Massive Computing Ser.: Data Mining and Knowledge Discovery Approaches Based on Rule .