Green Computing for Big Data and Machine Learning-Reference-Cited by-同舟云学术

Green Computing for Big Data and Machine Learning

Published:2022-01-08 Issue: Volume: Page:
ISSN:
Container-title:5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)
language:
Short-container-title:

Author:

Barua Hrishav Bakul¹,Mondal Kartick Chandra²,Khatua Sunirmal³

Affiliation:

1. Robotics & Autonomous Systems, TCS Research, IN

2. Information Technology, Jadavpur University, IN

3. Computer Science & Engineering, University of Calcutta, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3493700.3493772

Reference18 articles.

1. Hrishav Bakul Barua. 2021. Data science and Machine learning in the Clouds: A Perspective for the Future. arXiv preprint arXiv:2109.01661(2021). Hrishav Bakul Barua. 2021. Data science and Machine learning in the Clouds: A Perspective for the Future. arXiv preprint arXiv:2109.01661(2021).

2. Green Data Mining using Approximate Computing: An experimental analysis with Rule Mining

3. Approximate Computing: A Survey of Recent Trends—Bringing Greenness to Computing and Communication

4. A Comprehensive Survey on Cloud Data Mining (CDM) Frameworks and Algorithms

5. Hrishav Bakul Barua and Kartick Chandra Mondal. 2021. Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud. arXiv preprint arXiv:2104.05765(2021). Hrishav Bakul Barua and Kartick Chandra Mondal. 2021. Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud. arXiv preprint arXiv:2104.05765(2021).

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