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Abstract: The aim of data mining is the discovery of patterns within data stored in databases. Mining for association rules is a data mining method that lends itself to formulating conditional statements such as "if customers buy product A then they also buy product B and C with a probability of 90%." We consider different extended concepts of basic association rules. One of these concepts, quantitative association rules, is discussed in detail. Quantitative association rules allow statements like "20%... (Update)
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BibTeX entry: (Update)
@mastersthesis{ rantzau97extended,
author = "Ralf Rantzau",
title = "Extended Concepts for Association Rule Discovery",
number = "DIP-1554",
month = "11,",
pages = "61",
year = "1997",
url = "citeseer.ist.psu.edu/rantzau97extended.html" }
Citations (may not include all citations):921 Mining Association Rules between Sets of Items in Large Data.. - Agrawal, Imielinski et al. - 1993
910 Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
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765 trees: A Dynamic Index Structure for Spatial Searching (context) - Guttman - 1984
516 tree: An Efficient and Robust Access Method for Points and R.. (context) - Beckmann, Kriegel et al. - 1990
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268 Mining Generalized Association Rules - Srikant, Agrawal - 1995
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213 Discovery of Multiple-level Association Rules from Large Dat.. - Han, Fu - 1995
209 Mining Quantitative Association Rules in Large Relational Ta.. - Srikant, Agrawal - 1996
189 Sampling Large Databases for Association Rules - Toivonen - 1996
156 Beyond Market Baskets: Generalizing Association Rules to Cor.. - Brin, Motwani et al. - 1997
137 Finding Interesting Rules from Large Sets of Discovered Asso.. - Klemettinen, Mannila et al. - 1994
121 Efficient Algorithms for Discovering Association Rules - Mannila, Toivonen et al. - 1994
74 Data Mining Using Two-dimensional Optimized Association Rule.. (context) - Fukuda, Morimoto et al. - 1996
52 and Presentation of Strong Rules (context) - Piatetsky-Shapiro, Analysis - 1991
48 Parallel Mining of Association Rules: Design (context) - Agrawal, Shafer - 1996
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46 A Perspective on Databases and Data Mining - Holsheimer, Kersten et al. - 1995
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36 Association Rules over Interval Data - Miller, Yang - 1997
36 Pruning and Grouping of Discovered Association Rules - Toivonen, Klemettinen et al. - 1995
35 An Effective Hash-Based Algorithm for Mining Association Rul.. (context) - Park, Chen et al. - 1995
34 Efficient Parallel Data Mining for Association Rules (context) - Park, Chen et al. - 1995
23 From Data Mining to Knowledge Discovery: An Overview (context) - Fayyad, Piatesky-Shapiro et al. - 1996
16 An Efficient Algorithm for Mining Association Rules in Large.. - Savasere, Omiencinski et al. - 1995
12 Data Mining: An Overview from a Database Perspective (context) - Chen, Han et al. - 1996
6 Discovery of Multiple-Level Rules from Large Databases - Fu - 1996
6 Knowledge Discovery in Database Terminology (context) - Klosgen, Zytkow - 1996
5 A Fast Distributed Algorithm for Mining Association Rules - Cheung, Han et al. - 1996
4 Scalable Parallel Data Mining for Association Rules (context) - Sam, Geeneraorge et al. - 1997
4 An Object-oriented Approach to Multi-level Association Rule .. (context) - Fortin, Liu et al. - 1996
3 Efficient Mining of Association Rules in Distributed Databas.. - Cheung, Ng et al. - 1996
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