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» Scaling Clustering Algorithms to Large Databases
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VLDB
1994
ACM
101views Database» more  VLDB 1994»
15 years 5 months ago
Memory-Contention Responsive Hash Joins
In order to maximize systemperformancein environments with fluctuating memory contention, memory-intensive algorithms such as hash join must gracefully adapt to variations in avai...
Diane L. Davison, Goetz Graefe
143
Voted
KAIS
2002
144views more  KAIS 2002»
15 years 1 months ago
Correlation-Based Web Document Clustering for Adaptive Web Interface Design
A great challenge for web site designers is how to ensure users' easy access to important web pages efficiently. In this paper we present a clustering-based approach to addres...
Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu,...
123
Voted
JPDC
2007
167views more  JPDC 2007»
15 years 1 months ago
On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures
In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the ...
Diana H. P. Low, Bharadwaj Veeravalli, David A. Ba...
SIGMOD
2010
ACM
213views Database» more  SIGMOD 2010»
15 years 6 months ago
On active learning of record matching packages
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
Arvind Arasu, Michaela Götz, Raghav Kaushik
IDEAL
2003
Springer
15 years 7 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis