fIFTH ICAI WorkShop on Data Engineering and Analytics

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Abstract

Data has become pervasive. 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.

Furthermore, the Big Data phenomenon, used to describe challenging scenarios involving either datasets that are too big to be handled using traditional approaches, datasets with diverse formats and semantics, data streams that need to be actioned in real time, or a combination of these, gives rise to significant challenges. These new trends have 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 at the intersection of these areas, 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.

Introduction

The need for data scientists who quickly grasp competencies in the area of Big Data does not seem to dither, and this is reflected in the labour market by exponentially increasing demand. Over the last few years, the Big Data phenomenon has become part of the everyday language. According to International Data Corporation's expert committee, the digital universe is expected to reach 175 zettabytes by 2025. However, there is currently no consensus about what this new discipline called data science is. According to an article in Forbes magazine, it is at the intersection of traditional disciplines such as statistics and computer science.

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

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

ICAI will be held from 27th to 29th October 2022. It is organized by the Universidad Distrital Francisco Jose de Caldas, and Universidad Continental.  The event will be held onsite at Universidad Continental in Arequipa, Peru, with the option of remote participation for those who are unable to travel. 

ICAI 2022 is proudly sponsored by: Information Technologies Innovation Research Group, Strategic Bussiness Platform and Springer.

Call for Papers

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, data analytics, optimization, data engineering.  

Important Dates

• Paper submission: 29 August, 2022

• Paper Notification: 12 September, 2022

• Camera Ready: 26 September, 2022

• Author registration: 26 September, 2022

• Workshop date: 28 October, 2022

Submission Guidelines

Authors must submit an original full paper (10 to 15 pages) . We encourage Overleaf users to use CEUR template for LaTeX  in one column format. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip

To submit or upload a paper please go to Easychair (https://easychair.org/conferences/?conf=wdea2022).  All submissions will be reviewed by two experts. Authors must remove personal details, acknowledgements section and any other information related to the authors identity.

Proceedings will be submitted to CEUR-WS.org for online publication. Authors of accepted papers have to sign the Author Agreement to Publish a Contribution as Open-Access on CEUR-WS.org. CEUR-WS.org requires authors to physically sign with a pencil on paper. 

Special Issue in an Open Access journal Mutis will be available soon.

Registration

For registration go to ICAI registration page

Proceedings Four International Workshop on Data Engineering and Analytics (WDEA 2021)

Workshop papers were published in CEUR-WS and indexed in scopus.

• Analysing gender-based violence against Colombian public figures on Twitter84-98
  Juan Sebastian Chaparro-Saenz, Ixent Galpin

• Analyzing and predicting NCAA volleyball match outcome using machine learning techniques99-116
  Dhvanil Sanghvi, Priya Deshpande, Suhas Shanbhogue, Vishwa Shah

Proceedings Thrid International Workshop on Data Engineering and Analytics (WDEA 2020)

Workshop papers were published in CEUR-WS and indexed in scopus.

• Demand Forecasting for Inventory Management using Limited Data Sets: A Case Study from the Oil Industry

• Forecasting Credit Card Attrition using Machine Learning Models

• Precision Agriculture Technology Evaluation using Combined AHP and GRA for Data Acquisition in Apiculture

• Time Series Models for the Colombian TRM Exchange Rate

Proceedings Second International Workshop on Data Engineering and Analytics (WDEA 2019)

Workshop papers were published in CEUR-WS and indexed in scopus.

• A Generic Data Management Framework for the Internet of Things

• A Preliminary Assessment of the Traffic Measures in Madrid City

• Alpha-Beta vs Scout Algorithms for the Othello Game

• ConIText: An Improved Approach for Contextual Indexation of Text Applied to Classification of Large Unstructured Data

• Demand Forecasting and Material Requirement Planning Optimization using Open Source Tools

• Modeling Air Quality and Cancer Incidences in Proximity to Hazardous Waste and Incineration Treatment Areas

Proceedings Workshop on Data Engineering and Analytics (WDEA 2018)

Workshop papers were published in IEEE xplorer through the proceeding book ICAI Workshops (ICAIW) . This proceeding was indexed in Scopus.

Articles approved:

• Formalistic Modelling Based on Pattern Recognition Applied to the Knowledge and Human Talent Sector in Ecuador

• Model of neural networks for fertilizer recommendation and amendments in pasture crops

• Machine Learning Techniques for PM10 Levels Forecast in Bogotá

• Analysis and Data Visualization of Labor Demand in Ecuadorian Territory

Program Committee

Universidad Jorge Tadeo Lozano

• Olmer Garcia-Bedoya, PhD

• Ixent Galpin, PhD

Universidad de Santander

• Jorge Ivan Romero-Gelvez, PhD