- Autor
- Wojtkowiak Krzysztof (Nicolaus Copernicus University in Toruń)
- Tytuł
- Data Mining Analytics Fundamentals and Their Application in Logistics
- Źródło
- Acta Universitatis Nicolai Copernici. Zarządzanie, 2020, t. 47, nr 1, s. 47-63, rys., tab., bibliogr. 18 poz.
- Słowa kluczowe
- Data Mining, Logistyka
Data Mining, Logistics - Uwagi
- Klasyfikacja JEL: L91
summ. - Abstrakt
- The article describes several basic data mining fundamentals and their application in logistics and it consists of two sections. The first one is a description of different parts of data mining process: preparing the input data, completing the missing data, classification method using k-nearest neighbours algorithm with theoretical examples of usage conducted in opensource software called R and Weka. The second section of the article focuses on theoretical application of data mining methods in logistics, mainly in solving transportation problems and enhancing customer's satisfaction. This section was strongly influenced by data provided by DHL enterprise report on Big Data. The data used in theoretical examples is of own elaboration. (original abstract)
- Pełny tekst
- Pokaż
- Bibliografia
-
- Beier F.I., Rutkowski K., (2003), Logistyka, Szkoła Główna Handlowa w Warszawie, Warszawa.
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- Jeske M., Gruner M, Weiß F., (2013), Big data in Logistics, a DHL perspective on how to move beyond the hype, DHL, Troisdorf.
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- Langer L., Van der Kwast T., Evans A., Trachtenberg J., Wilson B., Haider M., (2009), Prostate Cancer Detection With Multi-parametric MRI: Logistic Regression Analysis of Quantitative T2, Diffusion-Weighted Imaging, and Dynamic Contrast-Enhanced MRI, Journal of Magnetic Resonance Imaging 30.
- Larose, D.T, (2006), Odkrywanie wiedzy z danych. Wprowadzenie do eksploracji danych, PWN, Warszawa.
- Mitchell T. M., (1997), Machine learning, McGraw-Hill Science/Engineering/Math.
- Paul A., Saravanan V., Ranjit Jeba Thangaiah P., (2011), Data Mining Analytics to Minimize Logistics Cost, International Journal of Advances in Science and Technology 2/3.
- Silva R.F., Cugnasca C.E, (2015), What is the importance of data mining for logistics and supply chain management? A bibliometric review from 2000 to 2014.
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- https://waikato.github.io/weka-wiki/downloading_weka/ [access date: 15.06.2020]
- http://edu.pjwstk.edu.pl/wyklady/adn/scb/wyklad12/w12.htm [access date: 15.06.2020]
- https://www.dhl.com/content/dam/downloads/g0/about_us/innovation/CSI_Studie_BIG_DATA. pdf [access date: 15.06.2020]
- Cytowane przez
- ISSN
- 2450-7040
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.12775/AUNC_ZARZ.2020.1.005
