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The Second International Workshop on Data Science Engineering and its Applications (DSEA 2018)

Valencia, Spain. October 15-18, 2018


Call for Papers

We are pleased to invite you to submit original contributions to DSEA 2018 via the official submission system at https://easychair.org/conferences/?conf=dsea2018. This can include, technical and experimental, theoretical, conceptual, or a survey. All submissions will be peer-reviewed on the basis of relevance, originality, importance, and clarity. 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 analytic, 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 Second International Workshop for Data Science Engineering and Applications (DSEA 2018) 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. The topics of interest for this workshop include, but are not limited to:

*Architecture, management and process for Data Science

*Big Data Mining and Knowledge Management

*Evaluation and Measurement in Data Science

*Privacy and protection standards and policies for Data Science

*Data Quality

*Data science for the internet of things (IoT)

*Management Issues of Social Network Big Data

*Big Data Computing for Data science

*Social Network and Big Data Analytics

*Open Source tools for Data Science and Big Data

*Data Mining for Data science

*High performance computing for data analytic

*Mathematical Issues in Data Science and Applications

*Cloud Computing for Big Data and Social Networks

*Data Science and Big Data for the Internet of Things

*Data Science and Big Data Management for Large-scale databases

*Data Science and Big Data for Decision Making

*Visualization tools for Data Science and Big Data

*Data-driven Scientific Research

*Data warehouses and cloud computing support for Data Science

*Case studies

Important Dates:

Submission Deadline: Jul 15, 2018

Notification Due: Aug 25, 2018

Final Version Due: Sep 5, 2018


Submissions Guidelines and Proceedings

Prospective authors are invited to submit full papers of up to 6 pages, strictly following the IEEE Proceedings Templates. Submitted papers will be peer-reviewed and prospective authors are expected to present their papers at the conference. The papers that are accepted and presented at the conference will appear in conference proceedings. Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also, submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification.

Submission System

Papers should be submitted electronically by the deadline to https://easychair.org/conferences/?conf=dsea2018.

General Co-chairs
*Sateesh Kumar Peddoju, Indian Institute of Technology Roorkee, Roorkee, India
*Thar Baker, Liverpool John Moores University, Liverpool, UK

Technical Program Co-chairs
*Sugam Sharma, Iowa State University, Iowa, USA
*Samia Gamoura, Université de Lyon, France
*Parijat Shukla, Xilinx, Inc., India

Publication and Publicity Co-chairs
*Efren Mezura-Montes, University of Veracruz, Mexico
*Sandra Sendra, Universidad de Granada, Spain
*Vaskar Raychoudhury, Miami University, USA

For any question about DSEA, please contact: [log in to unmask]  & [log in to unmask]

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