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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Conference Proceedings Citation Index.


SPECIAL SESSIONS LIST

DMMLACS 20201st International Special Session on Data Mining and Machine Learning Applications for Cyber Security
Chair(s): Alaa Mohasseb and Benjamin Aziz

APMDWE 20205th International Special Session on Advanced Practices in Model-Driven Web Engineering
Chair(s): Jose Gonzalez and Andres Jimenez Ramirez

1st International Special Session on Data Mining and Machine Learning Applications for Cyber Security - DMMLACS 2020

Paper Submission: September 7, 2020
Authors Notification: September 22, 2020
Camera Ready and Registration: September 30, 2020


Co-chairs

Alaa Mohasseb
University of Portsmouth
United Kingdom
e-mail
 
Benjamin Aziz
University of Portsmouth
United Kingdom
e-mail
 
Scope

The increasing amount and complexity of cybersecurity attacks in recent years have made cyber threats emerge as an important issue in companies and with the implementation of data mining and machine learning techniques it has become an important topic and factor in discovering features of such attacks and detecting future security threats.

This special session aims to bring together practitioners and researchers from academia and industry to obtain an insight into the current state of the practice of data mining and machine learning applications and to discuss the challenges, approaches and the importance of cyber threats predictions and how using emerging technologies such as machine learning could improve the prevention of such attacks.



5th International Special Session on Advanced Practices in Model-Driven Web Engineering - APMDWE 2020

Paper Submission: September 7, 2020
Authors Notification: September 22, 2020
Camera Ready and Registration: September 30, 2020


Co-chairs

Jose Gonzalez
University of Seville
Spain
e-mail
 
Andres Jimenez Ramirez
University of Seville
Spain
e-mail
 
Scope

The evolution and development of information systems and management systems for Web are clearly important in the last years. In addition, the complexity and needs of a higher quality of this kind of system are growing. Consequently, advanced mechanisms are needed to improve the development of these systems and improve the quality of the whole process. Research groups have worked in proposing new methods, techniques and tools to achieve these goals. Model-driven engineering (MDE) is a well-known paradigm to be used applying advanced techniques (Especially in web environments where is known as MDWE). This workshop is oriented to offer a site to discuss advanced techniques, new tendencies, experiences of MDE applied on Web environments, including advances in tools and enterprise experiences.


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