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DSC'2016 2016 : 1st International Workshop for Data Science and Computing


When Nov 29, 2016 - Nov 29, 2016
Where Agadir, Morocco
Submission Deadline Jul 31, 2016
Notification Due Aug 31, 2016
Final Version Due Sep 15, 2016
Categories    computer science   high computing performance   data science   mathematical issues in data sc

Call For Papers

1st International Workshop for Data Science and Computing (DSC’2016)

Held in paralel with

13th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2016


Today, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. It involves many domains, such as signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, etc. High Performance Computing typically deals with smaller, highly structured data sets and huge amounts of computation. Data Science has emerged to tackle the problem of creating processes and approaches to extracting knowledge or insights from gigantic, unstructured data sets.

The 1st International Workshop for Data Science and Computing (DSC'16) aims to provide a forum that brings together researchers, industry practitioners and domain experts for discussion and exchange of ideas on the latest theoretical developments in Data Science and Computing as well as on the best practices for a wide range of applications.

Topics of Interests

General areas of interest to DSC'2016 include but are not limited to:

1. Architecture, management and process for data science
2. Cloud computing and service data analysis
3. Data warehouses, cloud architectures
4. Mathematical Issues in Data Science
5. Big Data Issues and Applications
6. Large-scale databases
7. High performance computing for data analytics
8. Large scale optimization
9. Data-driven Scientific Research
10. Security, trust and risk in big data
11. Privacy and protection standards and policies
12. Data Quality
13. Evaluation and Measurement in Data Science
14. Big Data Mining and Knowledge Management
15. Case Study of Data Science

Submission Instructions

The manuscript should follow IEEE Computer Society's two-column format. The maximum manuscript length is six (6) pages including tables, figures, and references.

Important Dates

Full Paper submission deadline: July 31, 2016

Notification of Decision: August 31st, 2016

Registration and Camera-Ready: September 15th, 2016

Workshops Date: November 29, 2016


All papers submitted to DSC'2016 will be peer-reviewed. Accepted papers that are presented at the workshop will be published in an IEEE proceedings volume of the AICCSA 2016 workshops.


Prof. Nadjia Benblidia, Blida 1 University, Algeria.

Dr. Narhimène Boustia, Blida 1 University, Algeria.

Prof. Abdallah Idrissi, Université Mohammed V, Rabat, Morocco.

Technical Committee

•ABED Hafida, Blida 1 University, Algeria.



•BENDJOUDI Ahcene, CERIST, Algeria.

•BELAZZOUGI Djamal, CERIST, Algeria.

•BENFERHAT Salem, University of Artois, France.

•BENTAYEB Fadila, University of Lyon 2, France.

•BOULMAKOUL Azedine, University Hassan II, Morocco.

•BOUSSAID Omar, University of Lyon 2, France.

•CHERIET Mohamed, U. of Quebec’s École de technologie supérieure (ÉTS), Canada.

•FEKI Djamel, University of Djeddah, KSA.

•GARGOURI Faiez, University of Sfax, Tunisia.

•GHOMARI Abdessamed Redha, ESI, Algeria.

•KABACHI Nadia, University of Lyon1, France

•KHELLAF Faiza, USTHB, Algeria

•MOKHTARI Aicha, USTHB, Algeria

•OUKID Saliha, Blida 1 University, Algeria.

•SI MOHAMMED Mohamed, University of Tizi Ouzou, Algeria.

Contact details of the main organizers

Pr. Nadjia Benblidia; Email:

Dr Narhimène Boustia; Email:

Tel / Fax: +213 25 43 36 42

Adresse: Université Blida 1, Département d'Informatique

BP 270, Route de Soumaa, 09000. Blida. Algérie

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