Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2017 | OriginalPaper | Chapter

4. Association Discovery and Classification Rule Mining

Author : Piotr Hońko

Published in: Granular-Relational Data Mining

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This chapter provides frameworks for association and classification rules discovery from relational data. The frameworks are specialized versions of the general granular computing framework for mining relational data. The chapter also shows that the time complexity of generating rules from a granular representation of relational data can be decreased.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Properties of Granular-Relational Data Mining Framework
next chapter Rough-Granular Computing
Footnotes
1
If a set of values consists of one element, then the set is replaced with the element.
 
2
An argument preceded by symbol “+” (“-”) has to be replaced with an input (output) variable. The first argument of function mode (i.e. value 1) means that the relation purchase can be used in the construction of a pattern at most once.
 
3
Allowed specializations or generalizations of a given rule are understood as those rules that can be formed according to given constraints.
 
4
The granule \((customer(A,\_,\_,\_,\_,yes),\emptyset )\) can be transformed into the rule \(customer(A,\_,\_,\_,\_,1)\leftarrow 1\), where the rule premise is satisfied by any object.
 
5
attr(o) is the collection of all components of an object o.
 
6
P(X) is the power set of X.
 
Metadata
Title
Association Discovery and Classification Rule Mining
Author
Piotr Hońko
Copyright Year
2017
Book
Granular-Relational Data Mining

Print ISBN: 978-3-319-52750-5

Electronic ISBN: 978-3-319-52751-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52751-2_4

Premium Partner

    Image Credits