Journal of Applied Data Sciences

  Journal title   Journal of Applied Data Sciences  
  Initials   JADS
  Abbreviation   J. Appl. Data Sci.
  Online ISSN   2723-6471
  Frequency   4 issues per year
  DOI   doi.org/10.47738/jads
  Editor-in-chief  

Assoc Prof. Dr. Husni Teja Sukmana, (ID Scopus: 23398706200), UIN Syarif Hidayatullah Jakarta, Indonesia

Prof. Dr. Ibrahiem M. M. El Emary, (ID Scopus: 15135499400), King Abdulaziz University, Kingdom of Saudi Arabia 
  Organizer / Collaboration   Departement of Information System, Universitas Amikom Purwokerto, Indonesia; Computer Science and Systems Information Technology, King Abdulaziz University, Kingdom of Saudi Arabia.
  Citation Analysis   Scopus | Web of Science | Google Scholar

Established in 2020, the Journal of Applied Data Science (JADS) aims to advance and promote data science methods, computing, and applications in all scientific fields where knowledge and insights are to be extracted from data. The journal publishes research works on the full spectrum of the data science including statistics, computer science, and domain applications. The topics can be about any aspect of the life cycle (collecting, processing, analyzing, communicating, etc.) of data science projects from any field that involves understanding and making effective use of data. The emphasis is on applications, case studies, statistical  methods,computational tools, and reviews of data science.

Finally, accepted and published papers will be freely accessed in this website and the following abstracting & indexing databases:

            

OAI Address
Journal of Applied Data Sciences has OAI address : https://bright-journal.org/Journal/index.php/JADS/oai

Before submission,
You have to make sure that your paper is prepared using the JADS paper Template,has been carefully proofread and polished and conformed to the author guidelines.
Online Submissions

Registration and login are required to submit items online and to check the status of current submissions.

Announcements

 

Journal of Applied Data Sciences has been accepted for inclusion in Scopus

  
Dear Authors, Editors, Readers, and Reviewers:

We are pleased to announce that the Content Selection and Advisory Board (CSAB) of Scopus has completed its review of the Journal of Applied Data Sciences (JADS)  (e-ISSN: 2723-6471). JADS has been accepted for inclusion in Scopus, the world's largest abstract and citation database of peer-reviewed literature. Acceptance into this prestigious bibliographic database entails a rigorous evaluation process by the CSAB, an independent board of specialists, and is a significant endorsement of the journal's quality.

Journal of Applied Data Science (JADS) aims to advance and promote data science methods, computing, and applications in all scientific fields where knowledge and insights are to be extracted from data. The journal publishes research works on the full spectrum of the data science including statistics, computer science, and domain applications. The topics can be about any aspect of the life cycle (collecting, processing, analyzing, communicating, etc.) of data science projects from any field that involves understanding and making effective use of data. The emphasis is on applications, case studies, statistical methods,computational tools, and reviews of data science.

We hope you will think about publishing your next research paper in JADS.

Thank you for your continued interest in our work.

Best wishes,
Management of JADS
  
Posted: 2023-05-12 More...
 
More Announcements...

Vol 4, No 2: MAY 2023

This issue available online on May 2023 for the regular issue of May 2023. All articles in this issue (6 original research articles) were authored/co-authored by 13 authors from 4 countries (China, South Korea, Thailand and Indonesia).

  south-korea    indonesia

Table of Contents

Articles

Design and Realization of Computer Image Intelligent Recognition System
Guibing Xu(1*),

(1) School of Computer Information Engineering, Nanchang Institute of Technology, Jiangxi, China
Abstract: 25 Viewers 10.47738/jads.v4i2.76
PDF
50-58
Application of Adaptive UKF Algorithm in Multi-target Tracking and Positioning System
Guofang Liu(1), Xiong Wang(2*),

(1) School of Computer Science, Sichuan University Jinjiang College, China
(2) Experimental Teaching Center, Sichuan University Jinjiang College, China
Abstract: 14 Viewers 10.47738/jads.v4i2.81
PDF
59-67
Research on Deep Learning-Based Algorithm and Model for Personalized Recommendation of Resources
Yu’e Liu(1*),

(1) Yunnan University Dianchi College, Yunnan, China
Abstract: 17 Viewers 10.47738/jads.v4i2.85
PDF
68-75
Research on New Virtualization Security Protection Management System Based on Cloud Platform
Zhihong Li(1*), Guangxu Liu(2), Yijie Dang(3), Zhijie Shang(4), Nan Lin(5),

(1) State Grid Information & Telecommunication Branch, Beijing, China
(2) State Grid Information & Telecommunication Branch, Beijing, China
(3) State Grid Information & Telecommunication Branch, Beijing, China
(4) State Grid Information & Telecommunication Branch, Beijing, China
(5) State Grid Information & Telecommunication Branch, Beijing, China
Abstract: 21 Viewers 10.47738/jads.v4i2.89
PDF
76-83
Software Defect Fault Intelligent Location and Identification Method Based on Data Mining
Fang Wang(1*), Sungho Park(2), Cattareeya Suwanasri(3),

(1) Wenhua College, Wuhan, Hubei, China
(2) College of Maritime Sciences, Korea Maritime & Ocean University, Busan, Korea
(3) King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
Abstract: 31 Viewers 10.47738/jads.v4i2.92
PDF
84-92
Optimization of Decision Support System in Investment Risk Management with Firefly Algorithm
Ajang Sopandi(1*),

(1) Department of Informatics Engineering, Faculty of Engineering, University of Muhammadiyah Tangerang, Indonesia
Abstract: 23 Viewers 10.47738/jads.v4i2.95
PDF
93-102