Zusammenfassung
In diesem Kapitel werden drei Verfahren zum Finden von Assoziationsregeln vorgestellt, die alle auf einer einfachen Monotoniebedingung für die Häufigkeiten von Mengen und ihren Teilmengen in einer Transaktionsdatenbank beruhen.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Literatur
Agrawal R., Srikant R. 1994, „Fast Algorithms for Mining Association Rules“, In Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’94). ACM Press, New York, NY, pp. 94–105.
Cheung D. W., Han J., Ng V., Wong C. Y. 1996, „Maintenance of Discovered Association Rules in Large Databases: An incremental updating technique, in Proc. 12th Int. Conf. on Data Engineering (ICDE’96), IEEE Computer Society Press, Los Alamitos, California, pp. 106–114.
Srikant R., Agrawal R. 1995, „Mining Generalized Association Rules“, in Proc. 21st Int. Conf. on Very Large Data Bases (VLDB’95), Morgan Kaufmann Publishers, San Francisco, California, pp. 407–419.
Srikant R., Agrawal R. 1996a, „Mining Quantitative Association Rules in Large Relational Tables“, in Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD’96). ACM Press, New York, NY, pp. 1–12.
Srikant R., Vu Q., Agrawal R. 1997, „Mining Association Rules with Item Constraints“, in Proc. 3rd Int. Conf. on Knowledge Discovery and Data Mining (KDD’97). AAAI Press, Menlo Park, CA, pp. 67–73.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ester, M., Sander, J. (2000). Assoziationsregeln. In: Knowledge Discovery in Databases. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58331-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-58331-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67328-6
Online ISBN: 978-3-642-58331-5
eBook Packages: Springer Book Archive