Data Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Set

Muhammet Sinan BASARSLAN; Fatih KAYAALP

doi:https://doi.org/10.17694/bajece.410243

Article Details

Data Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Set

Authors:

Muhammet Sinan BASARSLAN | Fatih KAYAALP

Publisher:

Balkan Yayın

Journal:

Balkan Journal of Electrical and Computer Engineering 2018 Vol.6 Issue , pp.42-45

Document Type:

Article

Publication Date:

3/2018

Document Language:

English

Document ID (Org No.):

2000927486

Frequency:

Quarterly

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.410243

Abstract:

 


Data mining is the
process of extracting meaningful information from a large, raw data. These
processes are carried out by various, detailed methods. And, the obtained
results are used to make various interpretations and to draw conclusions.
Deductions can either be made by interpreting the data after various operations
or by plotting the data in various forms of graphs. This type of interpretation
over graphics is called data mining through data visualization. Generating
graphs that can be used to draw various conclusions on a telecommunications
data set with the help of some packages included in the R program is presented
in the paper. It does not require upper-level math skills to interpret these
graphics; and everyone having knowledge about the industry and data set of the
graphs has the ability to plot similar graphs and make analysis and
interpretations regarding the results obtained on the data set at hand. In this
study, R language was preferred as the software infrastructure for data mining
applications, and graphs were plotted for interpretation through data
visualization with data mining.

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Article Details

Data Mining Through Data Visualization: A Case Study on Predicting Churners on Telecomunications Data Set

Authors: Muhammet Sinan BASARSLAN | Fatih KAYAALP

Publisher: Balkan Yayın

Journal: Balkan Journal of Electrical and Computer Engineering 2018 Vol.6 Issue , pp.42-45

Document Type: Article

Publication Date: 3/2018

Document Language: English

Document ID (Org No.): 2000927486

Frequency: Quarterly

pISSN: 2147-284X

DOI: https://doi.org/10.17694/bajece.410243

Issues

Authors:

Muhammet Sinan BASARSLAN | Fatih KAYAALP

Publisher:

Balkan Yayın

Journal:

Balkan Journal of Electrical and Computer Engineering 2018 Vol.6 Issue , pp.42-45

Document Type:

Article

Publication Date:

3/2018

Document Language:

English

Document ID (Org No.):

2000927486

Frequency:

Quarterly

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.410243