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- Title
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live".
- Authors
Boo, Yee Ling; Gupta, Manik; Zhang, Weijia; Fournier-Viger, Philippe
- Abstract
This document is a special issue editorial from the journal Data Science & Engineering. It contains five papers, three of which were extended versions of papers presented at the 20th Australasian Data Mining Conference (AusDM22), and two papers from an open call for submissions. The editorial highlights the importance of the relationship between big data and data science in various industries and how data science has transformed many sectors and aspects of life. The editorial also provides a brief overview of the topics covered in the five papers, which include efficient high utility itemset mining, joint representation learning, anomaly detection in healthcare billing, AI and IoT-driven city-scale sensing, and community discovery in text documents. The authors express their appreciation to the contributors and reviewers who made the special issue possible.
- Subjects
DATA science; BIG data; GENERATIVE adversarial networks
- Publication
Data Science & Engineering, 2024, Vol 9, Issue 1, p3
- ISSN
2364-1185
- Publication type
Editorial
- DOI
10.1007/s41019-024-00247-w