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2000

Applying Data Mining Methods for Cellular Radio Network Planning

12 years 1 months ago
Applying Data Mining Methods for Cellular Radio Network Planning
: This paper contains description of an knowledge discovery experiment performed in radio planning department of one of Polish celular telecom providers. The results of using various data mining methods for GSM cell tra c prediction are presented. The methods used include both standard and well established approaches such as decision trees and k-means clustering, and new methods invented for this experiment, such as regressionalclustering. Remarkson importance of discretization methods for quantitative data mining are presented, together with general discussion on data mining of technical (i.e. mostly numeric and automatically generated) data.
Piotr Gawrysiak, Michal Okoniewski
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where IIS
Authors Piotr Gawrysiak, Michal Okoniewski
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