Application of Data Mining Techniques

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Details

Data Mining is a multidisciplinary field that focuses on data analysis and understanding. It is the process of analyzing data from different perspectives and summarizing it into useful information such as patterns, classification, clustering or segmentation, etc. that used for prediction and decision making purpose. To analyze the market situation of business organizations like ETC, having customer data is vital, in this regard the telecom companies generate and stores a tremendous amount of data such as call detail data, network data and customer data. Such data has to be systematically classified and clustered based on certain parameters to study customer behavior which in turn helps to improve service provisioning, to plan strategically future requirements that results in customer satisfaction and maximize company s revenue.

Autorentext

I have worked in telecom sector more than 15 years and currently I am working in ethio telecom as a manager for Fixed Core & International Gateway Section since December 2010. I have got my BSc Degree in Computer Science in 2005 and Advanced Diploma in Electrical Engineering in 2001, both from Addis Ababa University (Ethiopia).

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 179g
    • Untertitel to Customer Classification and Clustering: The Case of Ethiopian Telecommunications Corporation
    • Autor Mulugeta Asres
    • Titel Application of Data Mining Techniques
    • Veröffentlichung 18.10.2012
    • ISBN 3659271519
    • Format Kartonierter Einband
    • EAN 9783659271519
    • Jahr 2012
    • Größe H220mm x B150mm x T8mm
    • Anzahl Seiten 108
    • GTIN 09783659271519

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