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Electrotechnical and Computer Engineering

Vol. 36 No. 03 (2021): Proceedings of the Faculty of Technical Sciences

DATA MINING AND ADVANCED ANALYTICAL THEORY AND METHODS

  • Smiljana Živolić
DOI:
https://doi.org/10.24867/12BE13Zivolic
Submitted
March 5, 2021
Published
2021-03-05

Abstract

This paper presents a brief overview of Business Analytics with an emphasis on theories and methods of Data Mining. Basic research data analysis, Cluster analysis as well as Linear and Logistic regression are presented.

References

[1] Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Data Mining for Business Analitics, Third edition
[2] Foster Provost & Tom Fawcett, Data Science for Business
[3] T. H. Davenport and D. J. Patil, "Data Scientist: The Sexiest Job of the 21st Century," Harvard Business Review, October 2012.
[4] The R Project for Statistical Computing, "The Comprehensive R Archive Network."
[5] P.-N. Tan, V. Kumar, and M. Steinbach, Introduction to Data Mining, Upper Saddle River, NJ: Person, 2013.