**apologies for cross-postings**
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Call for Papers
The International Conference on
Contemporary Issues in Data Science
CiDaS19
Institute for Advanced Studies in Basic Science, 6-8 March 2019,
Zanjan, Iran
Conference Website: https://cidas.iasbs.ac.ir
Submission link: https://easychair.org/conferences/?conf=cidas19
Publication in: https://www.springer.com/series/15362
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Data science is rapidly growing field and as a profession incorporates a wide
variety of areas from statistics, mathematics and machine learning to applied
big data analytics. In this regard, we put special interest and focus on data
science in our past executions of CICIS conference. This year, in its 5th run,
we decided to dedicate the conference to data science area and accordingly keep
it as professional data science event in the future. The 5th international
conference on Contemporary issues in Data Science (CiDaS) will provide a sort
of a real workshop (not listen-shop) to scientists and scholars to share ideas,
initiate future collaborations and brainstorm challenges as well as industries
to catch emerging solutions from the science to their real data science
problems.
Goal:
CiDaS aims at providing first class brainstorming and collaboration potentials
to data scientists and experts from other related areas and disciplines, who
use data science innovations in their field. We accept applied and fundamental
research papers, survey papers that show innovations in the field as well as
papers from other disciplines that show novel application of data science and
big data in their field such as healthcare, manufacturing, finance and etc.
Keynote Speakers:
- Soeren Auer: Leibniz University of Hannover, TIB Leibniz Information Centre
for Science and Technology, Germany
- Mohammad Shokoohi Yekta, Apple Inc., United States
- Hamid Beigy, Sharif University of Technology, Iran
Topics:
Main topics to be addressed in the CiDaS conference include, but not limited to:
* Big Data Analysis: Linked Open Data, Scalable Machine Learning, Distributed
Data Storage and Analysis, Algorithmic and Statistical Techniques for Big Data,
Privacy and Ethics
* Machine Learning and Data science: Deep Learning, Text Mining and Natural
Language Processing, Statistical Pattern Recognition, Statistical Models in
Data Science, Probabilistic graphical models
* Semantic Data Science: Knowledge Discovery, Semantic Technologies, Novel
Information Retrieval, Linked data and Semantic Web, Ontologies, Graph and
Network Analysis
* Applied Data Science: Computer vision, Biological data analysis and
Bioinformatics, Social network analysis, Large Scale Data retrieval and
analysis in Smart Cities, Data Science for Gamification, IoT and WoT, Industry
4.0, Malware detection
Paper Submission:
All submissions should be in English and PDF format. Authors are requested to
use the style of the Springer Publications format. For details on the Springer
style, see Springer's Author Instructions
(ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip). Two types of
submissions will be accepted: (1) Full paper and (2) Short paper. Full paper
submissions are not allowed to exceed 11 pages including references. Short
paper submissions should be maximum 6 pages. All papers should be submitted
through Easychair system using the following link:
https://easychair.org/conferences/?conf=cidas19
Conference Proceedings:
All accepted full papers will be published by Springer in Lecture Notes on Data
Engineering and Communications Technologies
(https://www.springer.com/series/15362). The books of this series are submitted
to ISI Proceedings, MetaPress, Springerlink and DBLP.
Important Dates:
- Paper submission: November 9, 2018
- Tutorial submission: January 5, 2019
- Preliminary review: January 11, 2019
- Rebuttals: January 23-25, 2019
- Notification of acceptance: February 1, 2019
- Camera-ready and early registration: February 14, 2019
- Late registration deadline: February 24, 2019
Program Chairs:
- General Chair: Bahram Sadeghi Bigham
- International Chair: Mahdi Bohlouli
- Local Chairs: Zahra Narimani, Mahdi Vasighi
- Tutorials Chair: Parvin Razzaghi
Program Committee:
Hassan Abolhassani, Software engineer at Google, USA
Mohsen Afsharchi, University of Zanjan, Iran
Morteza AnaLoui, Iran University of Science and Technology, Iran
Amin Anjomshoa, Massachusetts Institute of Technology, USA
Lefteris Angelis, Aristotle University of Thessaloniki, Greece
Nikos Askitas, Research Data Center, Institute of Labour Economics,
