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» Set-Oriented Mining for Association Rules in Relational Data...
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PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
15 years 6 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
ICDE
1998
IEEE
103views Database» more  ICDE 1998»
16 years 2 months ago
Online Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the d...
Charu C. Aggarwal, Philip S. Yu
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 5 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
DAWAK
2009
Springer
15 years 6 months ago
Mining Violations to Relax Relational Database Constraints
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...
Mirjana Mazuran, Elisa Quintarelli, Rosalba Rossat...
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
16 years 1 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...