The Effect of Particle Swarm Optimization Feature Selection in Predicting Blood Donor Eligibility Classification at UTD Bekasi City Using Decision Tree C4.5-Reference-Cited by-同舟云学术

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The Effect of Particle Swarm Optimization Feature Selection in Predicting Blood Donor Eligibility Classification at UTD Bekasi City Using Decision Tree C4.5

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS)
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Author:

Tsaniyah Zulkarnain Kiana Rizki¹,Nurramdhani Irmanda Helena¹,Muliawati Anita¹,Wirawan Rio¹

Affiliation:

1. Universitas Pembangunan Nasional Veteran Jakarta,Faculty of Computer Science,South Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348961/10348616/10348997.pdf?arnumber=10348997

Reference17 articles.

1. World population by country 2023 (live);Review,2023

2. Menjaga ketersediaan darah nasional;Romly,2022

3. Overview of Blood Stocks and Demand During the COVID-19 Pandemic in Blood Donation Unit PMI Sleman Yogyakarta

4. Analisa data mining untuk prediksi penyakit hepatitis c menggunakan algoritma decision tree c.45 dengan particle swarm optimization;Seminar Nasional Hasil Penelitian dan Pengabdian Masyarakat, Lampung,2022

5. Implementasi data mining untuk mengetahui faktor kelayakan donor darah utd kota tasikmalaya menggunakan algoritma c4.5;Abdul Latif;Inti Nusa Mandiri,2019

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