Question
We have covered Artificial Neural Network, Nave Bayes, K-Nearest Neighbors, Decision Tree and Rule-Based Classifiers in the Data Mining course. For each of the above
We have covered Artificial Neural Network, Nave Bayes, K-Nearest Neighbors, Decision Tree and Rule-Based Classifiers in the Data Mining course. For each of the above mentioned classifier identify below.
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Identify which problems it is best suited for?
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Identify which problems it has difficulties with, and describe any issues or limitations of the classifiers?
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Database And Expert Systems Applications Dexa 2021 Workshops Biokdd Iwcfs Mlkgraphs Al Cares Protime Alsys 2021 Virtual Event September 27 30 2021 Proceedings
Authors: Gabriele Kotsis ,A Min Tjoa ,Ismail Khalil ,Bernhard Moser ,Atif Mashkoor ,Johannes Sametinger ,Anna Fensel ,Jorge Martinez-Gil ,Lukas Fischer
1st Edition
3030871002, 978-3030871000
