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KDD
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 10 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
IJFCS
2008
102views more  IJFCS 2008»
15 years 6 months ago
Succinct Minimal Generators: Theoretical Foundations and Applications
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...
Tarek Hamrouni, Sadok Ben Yahia, Engelbert Mephu N...
BMCBI
2004
158views more  BMCBI 2004»
15 years 6 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
SLOGICA
2011
15 years 1 months ago
Logics for Qualitative Inductive Generalization
The paper contains a survey of (mainly unpublished) adaptive logics of inductive generalization. These defeasible logics are precise formulations of certain methods. Some attentio...
Diderik Batens
ICDE
1995
IEEE
180views Database» more  ICDE 1995»
16 years 8 months ago
Building an Integrated Active OODBMS: Requirements, Architecture, and Design Decisions
Active OODBMSs must provide e cient support for event detection, composition, and rule execution. Previous experience, reported here, building active capabilities on top of existi...
Alejandro P. Buchmann, Jürgen Zimmermann, Jos...