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Towards Effective Processing of Large Text Collections

Abstract

In the article we describe the approach to parallelimplementation of elementary operations for textual data categorization.In the experiments we evaluate parallel computations ofsimilarity matrices and k-means algorithm. The test datasets havebeen prepared as graphs created from Wikipedia articles relatedwith links. When we create the clustering data packages, wecompute pairs of eigenvectors and eigenvalues for visualizationsof the datasets. We describe the method used for evaluation ofthe clustering quality. Finally we discuss achieved results, pointsome improvements and perspectives for future development.

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Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
2nd International Conference on Innovative Computing Technology (INTECH) strony 293 - 298
Language:
English
Publication year:
2012
Bibliographic description:
Szymański J., Krawczyk H..: Towards Effective Processing of Large Text Collections, W: 2nd International Conference on Innovative Computing Technology (INTECH), 2012, ,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/intech.2012.6457784
Verified by:
Gdańsk University of Technology

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