Special Issue Editorial on “The Innovative Use of Data Science to Transform How We Work and Live”
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41019-024-00247-w.pdf
Reference6 articles.
1. Park LAF, Gomes HM, Doborjeh M, Boo YL, Koh YS, Zhao Y, Williams G, Simoff S In: 20th International, Conference (2022) AusDM22, Western Sydney, Australia, December 12–15, 2022, proceedings, CCIS volume 1741, Springer. https://doi.org/10.1007/978-981-19-8746-5
2. Sra P, Chand SA, Reinduction-Based (2023) Approach for efficient high utility Itemset Mining from Incremental datasets. Data Sci Eng. https://doi.org/10.1007/s41019-023-00229-4
3. Pingi ST, Zhang D, Bashar MA et al (2023) Joint representation learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Sci Eng. https://doi.org/10.1007/s41019-023-00232-9
4. Muspratt R, Mammadov M (2023) Anomaly Detection with Sub-extreme values: Health Provider billing. Data Sci Eng. https://doi.org/10.1007/s41019-023-00234-7
5. Forkan ARM, Kang YB, Marti F et al (2023) AIoT-CitySense: AI and IoT-Driven City-Scale sensing for Roadside infrastructure maintenance. Data Sci Eng. https://doi.org/10.1007/s41019-023-00236-5
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