Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos  Home/Search
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Abstract: Association Rule Mining algorithms operate on a data matrix (e.g., customers \Theta products) to derive association rules (Agrawal, Imielinski, & Swami, 1993b; Srikant & Agrawal, 1996). We propose a new paradigm, namely, Ratio Rules, which are quantifiable in that we can measure the "goodness" of a set of discovered rules. We also propose the "guessing error" as a measure of the "goodness", that is, the root-mean-square error of the reconstructed values of the cells of the given matrix, when... (Update)
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BibTeX entry: (Update)
@article{ korn00quantifiable,
author = "Flip Korn and Alexandros Labrinidis and Yannis Kotidis and Christos Faloutsos",
title = "Quantifiable Data Mining Using Ratio Rules",
journal = "VLDB Journal: Very Large Data Bases",
volume = "8",
number = "3--4",
pages = "254--266",
year = "2000",
url = "citeseer.ist.psu.edu/308638.html" }
Citations (may not include all citations):2133 Pattern classification and scene analysis (context) - Duda, Hart - 1973
921 Mining Association Rules between Sets of Items in Large Data.. - Agrawal, Imielinski et al.
910 Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
329 Principal component analysis (context) - Jolliffe - 1986
268 Mining Generalized Association Rules - Srikant, Agrawal - 1995
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
164 An Efficient Algorithm for Mining Association Rules in Large.. (context) - Savasere, Omiecinski et al. - 1995
156 Beyond Market Baskets: Generalizing Association Rules to Cor.. - Brin, Motwani et al. - 1997
131 Data Mining: An Overview from a Database Perspective - Chen, Han et al. - 1996
125 An Effective Hash Based Algorithm for Mining Association Rul.. - Park, Chen et al. - 1995
100 Database Mining: A Performance Perspective - Agrawal, Imielinski et al.
100 Personalized Information Delivery: an Analysis of Informatio.. (context) - Foltz, Dumais - 1992
80 What Makes Patterns Interesting in Knowledge Discovery - Silberschatz, Tuzhilin - 1996
58 Searching multimedia databases by content (context) - Faloutsos - 1996
56 Parallel Mining of Association Rules - Agrawal, Shafer - 1996
38 A Linear Method for Deviation Detection in Large Databases - Arning, Agrawal et al. - 1996
37 Data mining and knowledge discovery in databases (context) - Fayyad, Uthurusamy - 1996
2 Improving forward selection with background knowledge: Findi.. (context) - Buechter, Mueller et al. - 1997
1 Extraction and Applications of Statistical Relationships in .. (context) - Conference, Zurich et al. - 1996
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