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Inferring Company Structure from Limited Available Information

  • Mugurel Ionut Andreica


    (Parallel and Distributed Systems Laboratory [Bucarest] - University Politehnica of Bucarest)

  • Angela Andreica


    (Management and Finances Center - Commercial Academy Satu Mare)

  • Romulus Andreica


    (Management and Finances Center - Commercial Academy Satu Mare)

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    In this paper we present several algorithmic techniques for inferring the structure of a company when only a limited amount of information is available. We consider problems with two types of inputs: the number of pairs of employees with a given property and restricted information about the hierarchical structure of the company. We provide dynamic programming and greedy algorithms for these problems.

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    Paper provided by HAL in its series Post-Print with number hal-00323317.

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    Date of creation: 20 Jun 2008
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    Publication status: Published in International Symposium on Social Development and Economic Performance, Jun 2008, Satu Mare, Romania. 89, pp.412-416, 2008
    Handle: RePEc:hal:journl:hal-00323317
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    1. S. Illeris & G. Akehurst, 2002. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 22(1), pages 1-3, January.
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