Open Science Research Excellence

ICDIS 2023 : International Conference on Data and Information Sciences

Paris, France
May 17 - 18, 2023

Conference Code: 23FR05ICDIS

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICDIS 2023 has teamed up with the Special Journal Issue on Data and Information Sciences. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   February 13, 2022
Notification of Acceptance/Rejection   February 27, 2022
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 16, 2023
Conference Dates   May 17 - 18, 2023

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Machine Learning Facing Behavioral Noise Problem in an Imbalanced Data Using One Side Behavioral Noise Reduction: Application to a Fraud Detection
Salma El Hajjami, Jamal Malki, Alain Bouju, Mohammed Berrada
2) Model of Optimal Centroids Approach for Multivariate Data Classification
Pham Van Nha, Le Cam Binh
3) The Role of Optimization and Machine Learning in e-Commerce Logistics in 2030
Vincenzo Capalbo, Gianpaolo Ghiani, Emanuele Manni
4) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
5) Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
6) A Secure Auditing Framework for Load Balancing in Cloud Environment
R. Geetha, T. Padmavathy
7) Technological Advancement in Fashion Online Retailing: A Comparative Study of Pakistan and UK Fashion E-Commerce
Sadia Idrees, Gianpaolo Vignali, Simeon Gill
8) Perceived Risks in Business-to-Consumer Online Contracts: An Empirical Study in Saudi Arabia
Shaya Alshahrani
9) Deep Learning Application for Object Image Recognition and Robot Automatic Grasping
Shiuh-Jer Huang, Chen-Zon Yan, C. K. Huang, Chun-Chien Ting
10) Artificial Intelligence-Based Chest X-Ray Test of COVID-19 Patients
Dhurgham Al-Karawi, Nisreen Polus, Shakir Al-Zaidi, Sabah Jassim
11) A Machine Learning Based Framework for Education Levelling in Multicultural Countries: UAE as a Case Study
Shatha Ghareeb, Rawaa Al-Jumeily, Thar Baker
12) The Need to Enhance Online Consumer Protection in KSA
Abdulrahman Aloufi
13) AI Tutor: A Computer Science Domain Knowledge Graph-Based QA System on JADE platform
Yingqi Cui, Changran Huang, Raymond Lee
14) Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
Ahmed Al-Adaileh, Souheil Khaddaj
15) Survey of Access Controls in Cloud Computing
Monirah Alkathiry, Hanan Aljarwan

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