Feature selection for financial data classification: Islamic finance application

The rapid growth of computing technology to process vast amount of data has impelled more interest in data mining. Such interest was mainly aimed at knowledge discovery to improve decision making process in diverse range of applications, including Islamic finance. One of the most critical steps in...

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Bibliographic Details
Main Authors: Kartiwi, Mira, Gunawan, Teddy Surya, Arundina, Tika, Omar, Mohd. Azmi
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
Online Access:http://irep.iium.edu.my/71851/1/71851_Feature%20Selection%20for%20Financial%20Data%20Classification.pdf
http://irep.iium.edu.my/71851/7/71851%20Feature%20selection%20for%20financial%20data%20classification%20SCOPUS.pdf
http://irep.iium.edu.my/71851/
https://ieeexplore.ieee.org/document/8688803
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English