Skip to main content
SpringerLink
Log in

Statistische Aspekte von Assoziationsregeln

  • Chapter
Trendberichte zum Controlling

  • 1002 Accesses

Zusammenfassung

Die vorliegende Arbeit stellt die im Data Mining gebräuchlichen Assoziationsmaße infrage und demonstriert anhand alternativer Maßzahlen aus der deskriptiven Statistik und Tests auf „Hochkorrelation“ die Gewinnung hoffentlich brauchbarerer Assoziationsregeln.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  • Agrawal, R., Imielinski, T., Swami, A. (1993), Mining association rules between sets of items in large databases, in: Proceedings of the 1993 ACM SIGMOD International Conference on the Management of Data, 22. Jg., 1993, H. 2, S. 207–216

    Article  Google Scholar 

  • Ferschl, F. (1985), Deskriptive Statistik, Würzburg 1985

    Google Scholar 

  • Grob, H. L., Bensberg, F. (1999), Das Data-Mining-Konzept, Arbeitsbericht Nr. 8 der Reihe „Computergestütztes Controlling“, Hrsg.: H. L. Grob, Münster 1999

    Google Scholar 

  • Han, J., Kamber, M. (2001), Data Mining—Concepts and Techniques, San Francisco 2001

    Google Scholar 

  • Hofmann, H., Wilhelm, A. (2001), Visual Comparison of Association Rules, in: Computational Statistics, 26. Jg., 2001, H. 3, S. 399–415

    Article  Google Scholar 

  • Piatetsky-Shapiro, G. (1991), Discovery, Analysis and Presentation of Strong Rules, in: Knowledge Discovery in Databases, Hrsg.: G. Piatetsky-Shapiro, W. Frawley, 1991, S. 229–248

    Google Scholar 

  • Silverstein, C., Brin, S., Motwani, R. (1998), Beyond Market Baskets: Generalizing Association Rules to Dependence Rules, in: Data Mining and Knowledge Discovery, 2. Jg., 1998, H. 1, S. 39–68

    Article  Google Scholar 

  • Witten, I., Frank, E. (2001), Data Mining, San Francisco 2001

    Google Scholar 

  • Witting, H. (1985), Mathematische Statistik, Stuttgart 1985

    Google Scholar 

Download references

Authors
  1. Ulrich Müller-Funk
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Westfälische Wilhelms-Universität, Lehrstuhl für Wirtschaftsinformatik und Controlling, Leonardo Campus 3, 48149, Münster

    Frank Bensberg , Jan vom Brocke  & Martin B. Schultz ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Müller-Funk, U. (2004). Statistische Aspekte von Assoziationsregeln. In: Bensberg, F., Brocke, J.v., Schultz, M.B. (eds) Trendberichte zum Controlling. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2708-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-7908-2708-8_11

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-642-62364-6

  • Online ISBN: 978-3-7908-2708-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation