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» An Overview of Database Mining Techniques
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SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
14 years 6 days ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal
ICIAR
2010
Springer
14 years 1 days ago
A Geometric Data Structure Applicable to Image Mining and Retrieval
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
T. Iwaszko, Mahmoud Melkemi, Lhassane Idoumghar
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 9 months ago
Similarity Search in Sets and Categorical Data Using the Signature Tree
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Nikos Mamoulis, David W. Cheung, Wang Lian
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 2 months ago
Spatial Multidimensional Sequence Clustering
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
ICDE
2007
IEEE
133views Database» more  ICDE 2007»
14 years 2 months ago
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario
We propose a data warehousing architecture for effective risk analysis in a banking scenario. The core of the architecture consists in two data mining tools for improving the qual...
Gianni Costa, Francesco Folino, Antonio Locane, Gi...