Clusterization modules for "Ontology Data Models for Data and Metadata Exchange Repository" system text collections

• Autorzy: Shatovska T. , Kamenieva I. , Liskong O.
• Języki publikacji: EN

Abstrakty

EN

In this paper the clusterization dataset module for "Ontology Data Models for Data and Metadata Exchange Repository" is considered. This module makes it possible to perform texts clusterization without prior clusters end-points.

Słowa kluczowe

EN

data mining; clusterization; tfidf; stemming; k-means; dendrogram; Java

PL

eksploracja danych; klasteryzacja; dendrogram; Java

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Metody Informatyki Stosowanej
• Rocznik: 2009
• Tom: nr 2 (19)
• Strony: 139--144
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Shatovska T.

autor

Kamenieva I.

autor

Liskong O.

• Kharkiv National University for Radioelectronics

Bibliografia

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• [4] Salton G., Buckley C. Term Weighting Approaches in Automatic Text Retrieval. Information Processing and Management, 1988 (24 no. 5), pp. 513–523.
• [5] Zhambu M. Hierarchical cluster-analysis and correspondences. Finances and statistics, 1988.
• [6] Lovins J. B. Development of a stemming algorithm. Mechanical Translation and Computation, 1968, №11 (1-2), pp. 11-31.
• [7] Dubes R. C., Jain A. K. Algorithms for Clustering Data. Prentice Hall, 1988.