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» Discovering Associations in XML Data
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KDD
2003
ACM
161views Data Mining» more  KDD 2003»
14 years 9 months ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
ICMCS
2009
IEEE
199views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Association rule mining in multiple, multidimensional time series medical data
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
Gaurav N. Pradhan, B. Prabhakaran
PAKDD
1999
ACM
129views Data Mining» more  PAKDD 1999»
14 years 25 days ago
Visually Aided Exploration of Interesting Association Rules
Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovere...
Bing Liu, Wynne Hsu, Ke Wang, Shu Chen
SIGMOD
2008
ACM
164views Database» more  SIGMOD 2008»
14 years 8 months ago
Relational-style XML query
We study the problem of querying relational data embedded in XML. Relational data can be represented by various tree structures in XML. However, current XML query methods, such as...
Taro L. Saito, Shinichi Morishita
ADC
2007
Springer
107views Database» more  ADC 2007»
14 years 2 months ago
A Processing Model for the Optimal Querying of Encrypted XML Documents in XQuery
XQuery is a powerful and convenient language that is designed for querying the data in XML documents. In this paper, we address how to optimally query encrypted XML documents usin...
Tao-Ku Chang, Gwan-Hwan Hwang