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Inferring Company Structure from Limited Available Information

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Mugurel Ionut Andreica & Angela Andreica & Romulus Andreica, 2008. "Inferring Company Structure from Limited Available Information," Post-Print hal-00323317, HAL.
    • Handle: RePEc:hal:journl:hal-00323317
    Note: View the original document on HAL open archive server: https://hal.science/hal-00323317v2
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