Data Science and Knowledge Discovery

Abstract

Nowadays, Data Science (DS) is gaining a relevant impact on the community. The most recent developments in Computer Science, such as advances in Machine and Deep Learning, Big Data, Knowledge Discovery, and Data Analytics, have triggered the development of several innovative solutions (e.g., approaches, methods, models, or paradigms). It is a trending topic with many application possibilities and motivates the researcher to conduct experiments in these most diverse areas. This issue created an opportunity to expose some of the most relevant achievements in the Knowledge Discovery and Data Science field and contribute to such subjects as Health, Smart Homes, Social Humanities, Government, among others. The relevance of this field can be easily observed by its current achieved numbers: thirteen research articles, one technical note, and forty-six authors from fifteen nationalities.

Processing Analytical Queries over Polystore System for a Large Astronomy Data Repository

“…Numerous scientific data organizations have recently encountered the challenge of offering data management solutions for huge, heterogeneous datasets [17,18]. For instance, data from the Zwicky Transient Facility (ZTF) include relational data, imagery, light curves, and text.…”