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» Theoretical Frameworks for Data Mining
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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 19 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
EDBT
2008
ACM
150views Database» more  EDBT 2008»
15 years 10 months ago
Cost-based query optimization for complex pattern mining on multiple databases
For complex data mining queries, query optimization issues arise, similar to those for the traditional database queries. However, few works have applied the cost-based query optim...
Ruoming Jin, David Fuhry, Abdulkareem Alali
73
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JIIS
2002
130views more  JIIS 2002»
14 years 9 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
IAT
2009
IEEE
14 years 7 months ago
Facilitating Active Multidimensional Association Mining with User Preference Ontology
Multidimensional association mining from data warehouse has become a knowledge discovery paradigm because it provides more specific conditional settings for target mining data, th...
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu
ISMIS
2011
Springer
14 years 21 days ago
Data Access Paths in Processing of Sets of Frequent Itemset Queries
Abstract. Frequent itemset mining can be regarded as advanced database querying where a user specifies the dataset to be mined and constraints to be satisfied by the discovered i...
Piotr Jedrzejczak, Marek Wojciechowski