Applying data mining in telecommunications

Leiden Repository

Applying data mining in telecommunications

Type: Doctoral Thesis
Title: Applying data mining in telecommunications
Author: Radosavljevik, D.
Issue Date: 2017-12-11
Keywords: CRISP DM
Deployment Scenario Simulations
Forecasting
Mobile Network Load
Service Revenues
Explanatory Models
Churn
Experimental Setup
Abstract: This thesis applies data mining in commercial settings in the telecommunications industry. The research for this thesis has been performed at T-Mobile Netherlands B.V. and the methods described in some of the chapters have been also applied in Deutsche Telekom subsidiaries in other countries. We had a rare opportunity to work on real commercial data sets and have the results of our research deployed in practice. Throughout this thesis we describe some of the challenges that data miners (or data scientists) meet when working on business problems and our solutions to these problems. The complex data sets we were analyzing contained in certain cases millions of records. In this research we were using simple methods combined in innovative ways to achieve results that were either an improvement on how the business was previously solving these problems or solving important business problems that were not addressed before in such detail. We address the stages of CRISP-DM (CRoss Industry Standard Process for Data Mining), and our main focus is on the stages least covered in literature.
Promotor: Supervisor: Kok J.N. Co-Supervisor: Putten P.W.H. van der
Faculty: Science
University: Leiden
Uri: urn:isbn:9789462998148
Handle: http://hdl.handle.net/1887/57982
 

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