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» Evaluation of Sampling for Data Mining of Association Rules
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92
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KDD
1997
ACM
104views Data Mining» more  KDD 1997»
15 years 4 months ago
An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
Shiby Thomas, Sreenath Bodagala, Khaled Alsabti, S...
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
15 years 7 months ago
Quantitative Association Analysis Using Tree Hierarchies
Association analysis arises in many important applications such as bioinformatics and business intelligence. Given a large collection of measurements over a set of samples, associ...
Feng Pan, Lynda Yang, Leonard McMillan, Fernando P...
84
Voted
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
128
Voted
JMLR
2010
116views more  JMLR 2010»
14 years 7 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
ACSW
2004
15 years 1 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick