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» High Performance Clustering Based on the Similarity Join
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NLDB
2010
Springer
15 years 11 months ago
Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus
Abstract. In the paper we present a method that allows an extraction of singleword terms for a specific domain. At the next stage these terms can be used as candidates for multi-wo...
Alexander F. Gelbukh, Grigori Sidorov, Eduardo Lav...
ISCAPDCS
2003
15 years 7 months ago
Efficient Data Allocation for a Cluster of Workstations
The development and use of cluster based computing is increasingly becoming an effective approach for solving high performance computing problems. The trend of moving away from sp...
Ahmed M. Mohamed, Reda A. Ammar, Lester Lipsky
VLDB
2000
ACM
166views Database» more  VLDB 2000»
15 years 9 months ago
What Is the Nearest Neighbor in High Dimensional Spaces?
Nearest neighbor search in high dimensional spaces is an interesting and important problem which is relevant for a wide variety of novel database applications. As recent results s...
Alexander Hinneburg, Charu C. Aggarwal, Daniel A. ...
ICDM
2010
IEEE
148views Data Mining» more  ICDM 2010»
15 years 4 months ago
Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments
Abstract--This paper presents a similarity measure that combines low-level trajectory information with geographical domain knowledge to compare vessel trajectories. The similarity ...
Gerben de Vries, Willem Robert van Hage, Maarten v...
SIGMOD
2007
ACM
192views Database» more  SIGMOD 2007»
16 years 6 months ago
Benchmarking declarative approximate selection predicates
Declarative data quality has been an active research topic. The fundamental principle behind a declarative approach to data quality is the use of declarative statements to realize...
Amit Chandel, Oktie Hassanzadeh, Nick Koudas, Moha...