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» Scaling Clustering Algorithms to Large Databases
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ISMB
2000
13 years 6 months ago
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
Hagit Shatkay, Stephen Edwards, W. John Wilbur, Ma...
ACL
2008
13 years 6 months ago
Inducing Gazetteers for Named Entity Recognition by Large-Scale Clustering of Dependency Relations
We propose using large-scale clustering of dependency relations between verbs and multiword nouns (MNs) to construct a gazetteer for named entity recognition (NER). Since dependen...
Jun'ichi Kazama, Kentaro Torisawa
IDEAS
2006
IEEE
218views Database» more  IDEAS 2006»
13 years 10 months ago
PBIRCH: A Scalable Parallel Clustering algorithm for Incremental Data
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
Ashwani Garg, Ashish Mangla, Neelima Gupta, Vasudh...
ICDE
1998
IEEE
122views Database» more  ICDE 1998»
14 years 5 months ago
A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases
Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, J&ou...
IPPS
2006
IEEE
13 years 10 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...