A Multi-Label Classification of Al-Quran Verses Using Ensemble Method and Naïve Bayes | Zendy

Muhammad Rizqi Choirulfikri | Zendy; Kemas Muslim Lhaksamana | Zendy; Said Al Faraby | Zendy

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A Multi-Label Classification of Al-Quran Verses Using Ensemble Method and Naïve Bayes

Author(s) -

Muhammad Rizqi Choirulfikri,

Kemas Muslim Lhaksamana,

Said Al Faraby

Publication year - 2022

Publication title -

building of informatics technology and science (bits)

Language(s) - English

Resource type - Journals

eISSN - 2685-3310

pISSN - 2684-8910

DOI - 10.47065/bits.v3i4.1287

Subject(s) - computer science , multinomial distribution , hamming code , bayes' theorem , naive bayes classifier , bernoulli's principle , preprocessor , ensemble learning , artificial intelligence , hamming distance , measure (data warehouse) , computation , algorithm , simple (philosophy) , pattern recognition (psychology) , machine learning , bayesian probability , data mining , mathematics , statistics , philosophy , epistemology , decoding methods , support vector machine , engineering , aerospace engineering , block code

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