DTH Service Trade Satisfaction Analysis using Data Mining Techniques
Suchismita Mishra1, Apurva Vashist2

1Suchismita Mishra, Research Scholar, Siksha  Anusandhan University, Bhubaneswar, India.

2Apurva Vashist, Research Scholar, Mewar University Mewar, India.

Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 952-955 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11940486S419/19©BEIESP | DOI: 10.35940/ijitee.F1194.0486S419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The DTH (Direct to Home) television broadcasting service has revolutionized the television service industry. This method of telecasting has technically improved the television industry and implemented improved methods of technology. This has also improved quality of services offered. People are applying Data mining techniques to find out the satisfaction level of DTH service. In this research, clustering and association analysis methods of data mining are implemented to find out the fruitfulness of DTH service.

Keywords: DTH Television Service, Clustering, Association Analysis I.
Scope of the Article: Analysis of Algorithms and Computational Complexity