Special Issue "Trends of Data Science and Knowledge Discovery"

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".

Deadline for manuscript submissions: 10 October 2021.

Special Issue Editor

Dr. Carlos Filipe Da Silva Portela
E-Mail Website
Guest Editor
Founder & CEO of IOTech; Information Systems and Technologies, Algoritmi Research Centre, University of Minho, 4800 Guimarães, Portugal
Interests: knowledge discovery; data science; progressive web apps; research and development
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In a world even more digital, the importance of data in our lives is significantly increasing, and new approaches and solutions arise everywhere in different formats and contexts. Data science (DS) is an interdisciplinary field that combines various areas, including computer science, machine learning, math and statistics, domain/business knowledge, software development, and traditional research. As a research topic, DS applies scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Knowledge discovery (KD) is the basis of data science and consists of creating knowledge from structured and unstructured sources (e.g., text, data, and images, among others).

Trending topics like gamification, chatbots and blockchain, among others, are taking advantage of using data science and knowledge discovery to improve their solutions and create emerging and pervasive environments.

This Special Issue is an excellent opportunity to provide scientific knowledge and disseminate the findings and achievements through several communities. It will discuss trends and new approaches in this area and present innovative solutions to show the importance of data science and knowledge discovery to researchers, managers, industry, society, and other communities.

Dr. Carlos Filipe Da Silva Portela
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Applied data science
  • Artificial intelligence
  • Big data
  • Blockchain
  • Business intelligence
  • Chatbots
  • Data analytics
  • Data mining, text mining and image mining
  • Expert systems
  • Gamification
  • Intelligent data systems
  • Machine learning
  • Pervasive data
  • Smart cities

Published Papers (1 paper)

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Research

Article
Implementation of a Virtual Assistant for the Academic Management of a University with the Use of Artificial Intelligence
Future Internet 2021, 13(4), 97; https://doi.org/10.3390/fi13040097 - 13 Apr 2021
Viewed by 532
Abstract
Currently, private universities, as a result of the pandemic that the world is facing, are going through very delicate moments in several areas, both academic and financial. Academically, there are learning problems and these are directly related to the dropout rate, which brings [...] Read more.
Currently, private universities, as a result of the pandemic that the world is facing, are going through very delicate moments in several areas, both academic and financial. Academically, there are learning problems and these are directly related to the dropout rate, which brings financial problems. Added to this are the economic problems caused by the pandemic, where the rates of students who want to access a private education have dropped considerably. For this reason, it is necessary for all private universities to have support to improve their student income and avoid cuts in budgets and resources. However, the academic part represents a great effort to fulfill their academic activities, which are the priority, with attention on those interested in pursuing a training programs. To solve these problems, it is important to integrate technologies such as Chatbots, which use artificial intelligence in such a way that tasks such as providing information on an academic courses are addressed by them, reducing the administrative burden and improving the user experience. At the same time, this encourages people to be a part of the college. Full article
(This article belongs to the Special Issue Trends of Data Science and Knowledge Discovery)
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