EAIADS2020: Enabling AI Applications in Data science |
Website | https://sites.google.com/cu.edu.eg/eaiads2020 |
Submission link | https://easychair.org/conferences/?conf=eaiads2020 |
Submission deadline | February 29, 2020 |
Enabling AI applications in Data Science
Publication in "Studies in Computational Intelligence" by Springer
h-index = 40
(Indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and SpringerLink)
https://www.springer.com/series/7092
Artificial Intelligence and Data Science are the most useful technologies that could powerfully improve Human Life. This is done through merging both for solving complex problems in various fields. This book provides detailed overview on latest advancements and applications in the field of Artificial Intelligence and Data Science. AI applications have achieved great accuracy and performance with the help of the advancements in data processing and storage. AI applications gained power through the amount and quality of data.
List of Topics
The contributors are expected to further the knowhow on state-of-the art research challenges, results, architecture, applications, and other achievements in (but not limited to) the following topics:
- Deep Learning for Data Intelligence
- AI for Business data analytics
- Performance Tuning and optimization for Big Data Using AI.
- Data Science Visualization using AI
- Optimization for machine Learning and Data mining in Big Data
- AI in securing Data
- Data Science for Industry 4.
- Data Science and AI in e-Government and Society
- Big Data Fusion using AI
- AI for Big Social Data Analysis
- Artificial Intelligence for knowledge management and big data, data analytics
- AI for Data Stream Mining
- AI for massive scale data science
- AI in Data informatics
- IoT sensor Data Analysis and Fusion
- Big Special Data Analytics
- Cost Modeling using AI
- Case studies of use of data science and AI applications in engineering, healthcare, business
- AI applications and Innovations
- Research trends, challenges, and the future of AI in Data Science.
Submission Guidelines
- Submitted manuscripts should conform to the standard guidelines of the Springer book chapter format. Manuscripts must be prepared using Latex, or Word, and according to the Springer svmlt template that can be downloaded from the (link) and the Chapter should contain in between 20-25 pages. Manuscripts that do not follow the formatting rules will be ignored. Prospective authors should send their manuscripts electronically through the easychair submission system as mentioned below:
https://easychair.org/conferences/?conf=eaiads2020
- There is no submission or publication fee.
- Conference paper may be extended to be a chapter provided extension is more than 60% from the original conference paper.
- Chapters not conforming to the above-mentioned guidelines shall not be considered forreview purpose.
- Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance before being accepted for publication.
Publications
The book publication schedule is as follows:
Deadline for paper submission: February 29, 2020
First round notification: April 5, 2020
Camera-ready submission: May 15, 2020
Publication date: 3rd quarter of 2020
The accepted contributions will be published in Studies in Computational Intelligence Springer series.
Contact
All questions about submissions should be emailed to the Volume Editors as given below:
- Aboul Ella Hassanien, Cairo Univesrity, Egypt E-mail: aboitcairo@gmail.com
- Nour Eldeen M. Khalifa, Egypt Email: nourmahmoud@cu.edu.eg
- Mohamed Hamed N. Taha, Egypt E-mail: mnasrtaha@fci-cu.edu.eg