BS Publications
 
 
 
 
 
Browse By Subject

Engineering & Technology
Electronics & Communication Engineering
Instrumentation Engineering
Electrical & Electronics Engineering
Computer Science & Engineering / Information Technology
Mechanical Engineering / Metallurgy
Civil Engineering
Biotechnology / Chemical Engineering
Environmental Science
Chemistry
Physics
Aeronautical Engineering
Mathematics

Management Science
Management Science / Skills
Humanities
Economics

Pharmaceutical Sciences
Allied Sciences
Pharmacy
Pharmaceutical Chemistry
Pharmaceutics
Pharmaceutical Analysis
Pharmacogoncy
Pharmacology
Regulatory Affairs
Pharmacy Competitive
Pharma Practices
Biochemistry Practical
Biotechnology
Biochemistry
Pathophysiology
Bioinformatics
Competitive Exams
General
Pharmaceutical Microbiology
Pharmaceutics Practical
Pharmaceutical Analysis Practical

Earth & Environmental Science
Earth / Geology / Meteorology / Remote Sensing & GIS
Environmental Science / Environmental Management

Agriculture & Life Sciences
Agriculture / Botany
Biotechnology / Bioinformatics
Life Science / Forestry
Life Science / Medical Science

Education-Main
Education

Library Science-Main
Library Science

Competitive Exams Main
Relational Data Mining
Editor(s) :Saso dzeroski, Nada Lavrac

ISBN : 9788132202271
Name : Relational Data Mining
Price : 895.00
Editor/s : Saso dzeroski, Nada Lavrac
Type : Text Book
Pages : 398
Year of Publication : Rpt.2011
Publisher : Springer/BSP Books
Binding : Paperback

About the Book

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining.
This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.

Contents

Part I. Introduction: 1. Data Mining in a Nutshell 2. Knowledge Discovery in Databases: An Overview 3. Introduction to Inductive Logic Programming 4. Inductive Logic Programming for Knowledge Discovery in Databases Part II. Techniques 5. Three Companions for Data Mining in First Order Logic 6. Inducing Classification and Regression Trees in First Order Logic 7. Relational Rule Induction with CPR0G0L4.4: A Tutorial Introduction 8. Discovery of Relational Association Rules 9. Distance Based Approaches to Relational Learning and Clustering Part III. From Propositional to Relational Data Mining 10. How to Upgrade Propositional Learners to First Order Logic: A Case Study 11. Propositionalization Approaches to Relational Data Mining 12. Relational Learning and Boosting 13. Learning Probabilistic Relational Models Part IV. Applications and Web Resources 14. Relational Data Mining Applications: An Overview 15. Four Suggestions and a Rule Concerning the Application of ILP 16. Internet Resources on ILP for KDD

   « Back
 
 
Search:
OR
OR
OR
   
 
 
Invitation to Author
Engineering
Section Catalogs (pdf)
Pharmacy
Section Catalogs (pdf)
Price List (Excel/Pdf)
Updated January 2014
Book Flyers
Visit to our other sites
www.ijpsnonline.com
Latest issue-volume 7 issue 3

Subscription Details
.....................................
www.ijdddonline.com
Latest issue-volume 5 Issue 2
Subscription Details

 
 
  2014, BS Publications. Website design by BS PUBLICATIONS, Best viewed in 1024x768.