Lokasi: Detection ofReference Topics and Suggestions using Latent Dirichlet Allocation (LDA)

Main Authors:	Basuki, Setio, Azhar, Yufis, Minarno, Agus Eko, Aditya, Christian Sri Kusuma, Sumadi, Fauzi Dwi Setiawan, Ramadhan, Ardiansah Ilham
Format:	Book PeerReviewed
Bahasa:	eng
Terbitan:	IEEE , 2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.umm.ac.id/60859/1/Basuki%20Azhar%20Minarno%20Aditya%20Sumadi%20Ramadhan%20-%20Inference%20Latent%20Dirichlet%20Allocation%20PATI%20Topic%20Modelling%20UMM.pdf http://eprints.umm.ac.id/60859/3/Peer%20Review%20-%20Azhar%20-%20Inference%20Latent%20Dirichlet%20Allocation%20PATI%20Topic%20Modelling%20UMM.pdf http://eprints.umm.ac.id/60859/2/Similarity%20-%20Basuki%20Azhar%20Minarno%20Aditya%20Sumadi%20Ramadhan%20-%20Inference%20Latent%20Dirichlet%20Allocation%20PATI%20Topic%20Modelling%20UMM.pdf http://eprints.umm.ac.id/60859/ https://ieeexplore.ieee.org/document/8850993

Koleksi	UMM Institutional Repository
Gedung	Perpustakaan Universitas Muhammadiyah Malang
Institusi	Universitas Muhammadiyah Malang
Kota	MALANG
Provinsi	JAWA TIMUR
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