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» A Database Interface for Clustering in Large Spatial Databas...
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132
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DGO
2003
133views Education» more  DGO 2003»
15 years 5 months ago
Accessing Diverse Geo-Referenced Data Sources with the SAND Spatial DBMS
The Internet has become the most frequently accessed medium for obtaining various types of data. In particular, government agencies, academic institutions, and private enterprises...
Jagan Sankaranarayanan, Egemen Tanin, Hanan Samet,...
255
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 5 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
109
Voted
ENGL
2007
92views more  ENGL 2007»
15 years 3 months ago
K-Mutual Nearest Neighbour Approach for Clustering Two-Dimensional Shapes Described by Fuzzy-Symbolic Features
Abstract— In this paper, a new method of representing twodimensional shapes using fuzzy-symbolic features and a similarity measure defined over fuzzy-symbolic features useful for...
H. S. Nagendraswamy, D. S. Guru
154
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PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
15 years 10 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
225
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 5 months ago
Automatically Extracting Form Labels
We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to ...
Hoa Nguyen, Eun Yong Kang, Juliana Freire