RUDARENJE PODATAKA I NAPREDNE ANALITIČKE TEORIJE I METODE
Ključne reči:
Rudarenje podataka, poslovna analitika, algoritmi, statistika
Apstrakt
U ovom radu prikazan je kratak pregled Poslovne analitike sa akcentom na teorije i metode Rudarenja podataka. Predstavljena je osnovna istraživačka analiza podataka, Klaster analiza kao i Linearna i Logistička regresija.
Reference
[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.
Objavljeno
2021-03-05
Sekcija
Elektrotehničko i računarsko inženjerstvo
