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» An Overview of Database Mining Techniques
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VLDB
2004
ACM
163views Database» more  VLDB 2004»
14 years 1 months ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
HICSS
1999
IEEE
152views Biometrics» more  HICSS 1999»
14 years 10 days ago
Incorporating Semantic Relationships into an Object-Oriented Database System
Semantic relationships, those class-to-class connections that carry inherent support for constraints and various other functionalities, play an important role when building inform...
Li-min Liu, Michael Halper
KAIS
2008
150views more  KAIS 2008»
13 years 8 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 9 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
KES
2005
Springer
14 years 1 months ago
OntoExtractor: A Fuzzy-Based Approach in Clustering Semi-structured Data Sources and Metadata Generation
This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data...
Zhan Cui, Ernesto Damiani, Marcello Leida, Marco V...