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| Title Details: | |
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The Naïve Bayes Classification Algorithm and its Applications in RapidMiner |
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| Authors: |
Maravelakis, Petros |
| Description: | |
| Abstract: |
In this chapter we will present the Naïve Bayes algorithm. In the beginning we present the main characteristics of the algorithm and its parameters. The next step is how to apply the algorithm to RapidMiner. Two case studies will be presented in which there will be a detailed presentation of the problem to be studied, the data that will be used in the analysis, the application of the Naïve Bayes method in RapidMiner, the results (tables and diagrams), as well as their annotation in order to extract the necessary conclusions.
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| Linguistic Editors: |
Paxinou, Evgenia |
| Graphic Editors: |
Skouloudis, George |
| Type: |
Chapter |
| Creation Date: | 01-05-2024 |
| Item Details: | |
| License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| Handle | http://hdl.handle.net/11419/13261 |
| Bibliographic Reference: | Maravelakis, P. (2024). The Naïve Bayes Classification Algorithm and its Applications in RapidMiner [Chapter]. In Maravelakis, P. 2024. Business Data Mining [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/13261 |
| Language: |
Greek |
| Is Part of: |
Business Data Mining |
| Publication Origin: |
Kallipos, Open Academic Editions |