DATA MINING AND ADVANCED ANALYTICAL THEORY AND METHODS
DOI:
https://doi.org/10.24867/12BE13ZivolicKeywords:
Data Mining, Business Analitics, Algorithms, StatisticsAbstract
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.
[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.
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Published
2021-03-05
Issue
Section
Electrotechnical and Computer Engineering
