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» CURE: An Efficient Clustering Algorithm for Large Databases
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ICDE
2006
IEEE
222views Database» more  ICDE 2006»
16 years 1 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
DEXA
2008
Springer
120views Database» more  DEXA 2008»
15 years 1 months ago
Compressing Very Large Database Workloads for Continuous Online Index Selection
The paper presents a novel method for compressing large database workloads for purpose of autonomic, continuous index selection. The compressed workload contains a small subset of ...
Piotr Kolaczkowski
PAMI
2010
164views more  PAMI 2010»
14 years 10 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
DEXA
2010
Springer
156views Database» more  DEXA 2010»
15 years 24 days ago
Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms
Abstract. The problems of finding alternative clusterings and avoiding bias have gained popularity over the last years. In this paper we put the focus on the quality of these alter...
M. Eduardo Ares, Javier Parapar, Alvaro Barreiro
ISBRA
2007
Springer
15 years 5 months ago
Clustering Algorithms Optimizer: A Framework for Large Datasets
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
Roy Varshavsky, David Horn, Michal Linial