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2017 IEEE International Conference on Data Mining Workshops (ICDMW) (2017)
New Orleans, Louisiana, USA
Nov. 18, 2017 to Nov. 21, 2017
ISSN: 2375-9259
ISBN: 978-1-5386-3800-2
pp: 170-176
ABSTRACT
In this work, we report an ongoing study that aims to apply cluster validation measures for analyzing email communications at an organizational level of a company. This analysis can be used to evaluate the company structure and to produce further recommendations for structural improvements. Our initial evaluations, based on data in the forms of emails logs and organizational structure for a large European telecommunication company, show that cluster validation techniques can be useful tools for assessing the organizational structure using objective analysis of internal email communications, and for simulating and studying different reorganization scenarios.
INDEX TERMS
DP management, electronic mail, pattern clustering
CITATION

V. Boeva, L. Lundberg, S. M. Kota and L. Skold, "Analysis of Organizational Structure Through Cluster Validation Techniques: Evaluation of Email Communications at an Organizational Level," 2017 IEEE International Conference on Data Mining Workshops (ICDMW), New Orleans, Louisiana, USA, 2018, pp. 170-176.
doi:10.1109/ICDMW.2017.28
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