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» An Overview of Database Mining Techniques
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KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 8 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 8 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
WSCG
2003
161views more  WSCG 2003»
13 years 9 months ago
A Visualization-based Approach to Explore Geographic Metadata
The paper presents a visualization-based approach to explore large databases of geographic metadata. The aim of the data exploration is to search and acquire expressive geographic...
Riccardo Albertoni, Alessio Bertone, Monica De Mar...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 2 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov
SAC
2005
ACM
14 years 1 months ago
SVD-based collaborative filtering with privacy
Collaborative ļ¬ltering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar usersā...
Huseyin Polat, Wenliang Du