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Using Very Large Volume Data Sets for Collaborative Systems Study

Author

Listed:
  • Ion IVAN
  • Cristian CIUREA

Abstract

This article presents the study requests for collaborative systems, the structure and volume of data necessary for collaborative systems analysis. The paper defines procedures for collecting and validating data. This article identifies algorithms to construct homogeneous collectivities. Calculations are carried out with very large data sets and the results are interpreted.

Suggested Citation

  • Ion IVAN & Cristian CIUREA, 2009. "Using Very Large Volume Data Sets for Collaborative Systems Study," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(1), pages 29-37.
    • Handle: RePEc:aes:infoec:v:13:y:2009:i:1:p:29-37
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    Citations

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    Cited by:

    1. Razvan PETRUSEL, 2009. "Collaborative Virtual Enterprise Environment and Decision Mining," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 59-67.
    2. Cristian CIUREA, 2009. "A Metrics Approach for Collaborative Systems," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 41-49.
    3. Cristian CIUREA, 2010. "The Informatics Audit - A Collaborative Process," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 119-127.
    4. Liviu Adrian COTFAS & Mihai Catalin CROICU & Dumitru COTFAS, 2009. "A Collaborative GIS Solution for Public Transport," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 50-58.
    5. Claudiu VINTE, 2009. "The Informatics of the Equity Markets - A Collaborative Approach," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 76-85.
    6. Daniel MICAN & Nicolae TOMAI & Robert Ioan COROS, 2009. "Web Content Management Systems, a Collaborative Environment in the Information Society," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 13(2), pages 20-31.

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