Inferring Company Structure from Limited Available Information

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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Year of publication:	2008-09-10
Authors:	Andreica, Mugurel Ionut ; Andreica, Angela ; Andreica, Romulus
Institutions:	HAL
Subject:	inferring company structure \| pairs of employees \| hierarchical structure \| dynamic programming

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Extent:	application/pdf
Series:	Post-Print.
Type of publication:	Book / Working Paper
Language:	English
Notes:	View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00323317 Published - Presented, International Symposium on Social Development and Economic Performance, 2008, Satu Mare, Romania
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008791951