ICAI WorkShop on Data Engineering and Analytics

**NOTE: New deadline: CFP 2th September 2018.**

Abstract

Data is everywhere. Data Analytics, Data Mining, Data Science or more generally the practice of identifying patterns or constructing mathematical models based on data is at the heart of most new business models or projects. This together with what has been termed as the Big Data phenomena, associated to data sets too big to be handled as usual, with non structured contents, data streams or all of these, has led to a whole new series of rapidly evolving tools, algorithms and methods which combine data engineering, computer science, statistics and mathematics.

The aim of this Workshop is to present recent results in this area, discussing new methods or algorithms, or applications including Machine Learning, Databases, optimization or any type of algorithms which consider managing or obtaining value from data.

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This workshop will consider papers which:

  • Develop/implement methods and techniques to store, prepare and analyse data in traditional as well as Big Data contexts.
  • Apply these methods to solve problems related to data management as required by society or business goals.

Keywords

Big Data, machine learning, databases, noSQL, NovemberNovemberdata-data analytics, optimization, data engineering

Important Dates

Workshop Paper Submission: August 24th September 2 2018

  • Workshop Paper Notification: September 10th September 14 2018
  • Workshop Camera Ready: September 24st 2018
  • Events date: 1st to 3rd November 2018

Submission Guidelines

Please follow the paper guidelines using at most 6 pages. Submissions must adhere to the IEEE Conference Proceedings Format Guidelines

To submit or upload a paper please go to easychair

All submissions will be reviewed by 2 experts. Authors must remove personal details, acknowledgements section and any other information related to the authors identity.

Proceedings

Workshop papers will be published by IEEE and will be accessible through IEEE Xplore

Registration

For registration go to ICAI registration page

Organized by

Master in data engineering and analytics


Introduction

According to the Harvard Business Review, the data scientist is a new role that would be 'the sexiest job of the 21st century'. Over the last few years, the Big Data phenomenon has become part of the everyday language. According to IDC's expert committee, the digital universe is expected to grow by a factor of 44 from 2009 to 2020 to a trillion gigabytes. However, there is currently no consensus about what this new discipline called data science is. According to an article in Forbes magazine, it is a union between traditional disciplines such as statistics and computer science.

With this in mind, the workshop aims at combining two main areas of knowledge. The first one, data Engineering, which is defined as the process of designing, building, managing, and evaluating advanced data systems and applications. The second one, data analytics, which is defined as the process of deriving higher-level information from (usually large) sets of raw data.

The workshop will be hosted during the 1st International Conference on Applied Informatics (ICAI), which aims to bring together researchers and practitioners working in different domains in the field of informatics in order to exchange their expertise and to discuss the perspectives of development and collaboration.

ICAI 2018 will be held in the Universidad de Bogota Jorge Tadeo Lozano located in Bogota, Colombia, from 1st to 3rd November 2018. It is organized by the Universidad Distrital Francisco Jose de Caldas and the Universidad de Bogotá Jorge Tadeo Lozano.