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» Discovering Associations in XML Data
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KDD
1998
ACM
136views Data Mining» more  KDD 1998»
14 years 2 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
CDVE
2006
Springer
130views Visualization» more  CDVE 2006»
14 years 1 months ago
Flexible Collaboration over XML Documents
Abstract. XML documents are increasingly being used to mark up various kinds of data from web content to scientific data. Often these documents need to be collaboratively created a...
Claudia-Lavinia Ignat, Moira C. Norrie
KDD
1997
ACM
104views Data Mining» more  KDD 1997»
14 years 2 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...
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
13 years 11 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee