Trends of Data Science and Knowledge Discovery

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

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