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» An Overview of Database Mining Techniques
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SDM
2010
SIAM
146views Data Mining» more  SDM 2010»
13 years 9 months ago
Evaluating Query Result Significance in Databases via Randomizations
Many sorts of structured data are commonly stored in a multi-relational format of interrelated tables. Under this relational model, exploratory data analysis can be done by using ...
Markus Ojala, Gemma C. Garriga, Aristides Gionis, ...
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 months ago
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis
Since Jim Gray introduced the concept of ”data cube” in 1997, data cube, associated with online analytical processing (OLAP), has become a driving engine in data warehouse ind...
Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu,...
ICDE
2005
IEEE
118views Database» more  ICDE 2005»
14 years 9 months ago
A Framework for High-Accuracy Privacy-Preserving Mining
To preserve client privacy in the data mining process, a variety of techniques based on random perturbation of individual data records have been proposed recently. In this paper, ...
Shipra Agrawal, Jayant R. Haritsa
FLAIRS
2000
13 years 9 months ago
Use of Data Mining on Satellite Data Bases for Knowledge Extraction
Extracting knowledge from existing sources of information is a key development area to unlock previously unknown relationships between specific data points. Data mining is a techn...
Lance Self
PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
13 years 6 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken