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» Set cover algorithms for very large datasets
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STOC
2010
ACM
245views Algorithms» more  STOC 2010»
13 years 10 months ago
Weighted Geometric Set Cover via Quasi-Uniform Sampling
There has been much progress on geometric set cover problems, but most known techniques only apply to the unweighted setting. For the weighted setting, very few results are known ...
Kasturi Varadarajan
LREC
2008
133views Education» more  LREC 2008»
13 years 6 months ago
Comparing Set-Covering Strategies for Optimal Corpus Design
This article is interested in the problem of the linguistic content of a speech corpus. Depending on the target task, the phonological and linguistic content of the corpus is cont...
Jonathan Chevelu, Nelly Barbot, Olivier Boëff...
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
13 years 9 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
CAINE
2003
13 years 6 months ago
A Genetic Algorithm for Clustering on Very Large Data Sets
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Jim Gasvoda, Qin Ding
IDA
2011
Springer
13 years 7 days ago
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets
The amount of data produced by ubiquitous computing applications is quickly growing, due to the pervasive presence of small devices endowed with sensing, computing and communicatio...
Annalisa Appice, Michelangelo Ceci, Antonio Turi, ...