Big Data Analytics Using Artificial Intelligence-Reference-Cited by-同舟云学术

Big Data Analytics Using Artificial Intelligence

Published:2023-02-15 Issue:4 Volume:12 Page:957
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Gandomi Amir H.¹²^ORCID,Chen Fang³,Abualigah Laith⁴⁵⁶⁷⁸⁹^ORCID

Affiliation:

1. Faculty of Engineering & Information Technology, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia

2. University Research and Innovation Center (EKIK), Óbuda University, 1034 Budapest, Hungary

3. Data Science Institute, University of Technology Sydney, Ultimo, NSW 2007, Australia

4. Computer Science Department, Prince Hussein Bin Abdullah Faculty for Information Technology, Al Al-Bayt University, Mafraq 25113, Jordan

5. Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman 19328, Jordan

6. Center for Engineering Application & Technology Solutions, Ho Chi Minh City Open University, Ho Chi Minh 700000, Vietnam

7. Faculty of Information Technology, Middle East University, Amman 11831, Jordan

8. Applied Science Research Center, Applied Science Private University, Amman 11931, Jordan

9. School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang 11800, Malaysia

Abstract

Data analytics using artificial intelligence is the process of leveraging advanced AI techniques to extract insights and knowledge from large and complex datasets [...]

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/4/957/pdf

Reference15 articles.

1. Gandomi, A.H., Chen, F., and Abualigah, L. (2022). Machine Learning Technologies for Big Data Analytics. Electronics, 11.

2. Swain, D., Mehta, U., Bhatt, A., Patel, H., Patel, K., Mehta, D., Acharya, B., Gerogiannis, V.C., Kanavos, A., and Manika, S. (2023). A Robust Chronic Kidney Disease Classifier Using Machine Learning. Electronics, 12.

3. Nusir, M., Louati, A., Louati, H., Tariq, U., Abu Zitar, R., Abualigah, L., and Gandomi, A.H. (2022). Design Research Insights on Text Mining Analysis: Establishing the Most Used and Trends in Keywords of Design Research Journals. Electronics, 11.

4. AlZu’bi, S., Abu Zitar, R., Hawashin, B., Abu Shanab, S., Zraiqat, A., Mughaid, A., Almotairi, K.H., and Abualigah, L. (2022). A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education. Electronics, 11.

5. Ai, M.A.S., Shanmugam, A., Muthusamy, S., Viswanathan, C., Panchal, H., Krishnamoorthy, M., Elminaam, D.S.A., and Orban, R. (2022). Real-Time Facemask Detection for Preventing COVID-19 Spread Using Transfer Learning Based Deep Neural Network. Electronics, 11.

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