Based on the high quality and international impact assessment, six papers were selected as Excellent Paper 2022 of Big Data Mining and Analytics. Congratulations to the recipients. The recipients list is shown as below.
Big Data Mining and Analytics 2022 Excellent Paper Awards Recipients:
1. Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, and Mohammed Essaaidi, Multivariate deep learning approach for electric vehicle speed forecasting, Big Data Mining and Analytics, vol. 4, no. 1, pp. 56-64, March 2021.
DOI: 10.26599/BDMA.2020.9020027
Links: https://ieeexplore.ieee.org/document/9321203/
https://www.sciopen.com/article/10.26599/BDMA.2020.9020027
2. Paromita Nitu, Joseph Coelho, and Praveen Madiraju, Improvising personalized travel recommendation system with recency effects, Big Data Mining and Analytics, vol. 4, no. 3, pp. 139-154, Sept. 2021.
DOI: 10.26599/BDMA.2020.9020026
Links: https://ieeexplore.ieee.org/document/9430131
https://www.sciopen.com/article/10.26599/BDMA.2020.9020026
3. Jamal Mabrouki, Mourade Azrour, Ghizlane Fattah, Driss Dhiba, and Souad El Hajjaji, Intelligent monitoring system for biogas detection based on the Internet of Things: Mohammedia, Morocco city landfill case, Big Data Mining and Analytics, vol. 4, no. 1, pp. 10-17, March 2021.
DOI: 10.26599/BDMA.2020.9020017
Links: https://ieeexplore.ieee.org/document/9321198
https://www.sciopen.com/article/10.26599/BDMA.2020.9020017
4. Rajani Kumari, Sandeep Kumar, Ramesh Chandra Poonia, and Vijander Singh, Linesh Raja, Vaibhav Bhatnagar, Pankaj Agarwal, Analysis and predictions of spread, recovery, and death caused by COVID-19 in India, Big Data Mining and Analytics, vol. 4, no. 2, pp. 65-75, June 2021.
DOI: 10.26599/BDMA.2020.9020013
Links: https://ieeexplore.ieee.org/document/9343916
https://www.sciopen.com/article/10.26599/BDMA.2020.9020013
5. Jamal Mabrouki, Mourade Azrour, Driss Dhiba, Yousef Farhaoui, and Souad El Hajjaji, IoT-based data logger for weather monitoring using Arduino-based wireless sensor networks with remote graphical application and alerts, Big Data Mining and Analytics, vol. 4, no. 1, pp. 25-32, March 2021.
DOI: 10.26599/BDMA.2020.9020018
Links: https://ieeexplore.ieee.org/document/9321200
https://www.sciopen.com/article/10.26599/BDMA.2020.9020018
6. Zhao Tong, Feng Ye, Ming Yan, Hong Liu, and Sunitha Basodi, A survey on algorithms for intelligent computing and smart city applications, Big Data Mining and Analytics, vol. 4, no. 3, pp. 155-172, Sept. 2021.
DOI: 10.26599/BDMA.2020.9020029
Links: https://ieeexplore.ieee.org/document/9430132
https://www.sciopen.com/article/10.26599/BDMA.2020.9020029
Big Data Mining and Analytics (published by Tsinghua University Press) discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications. Big Data Mining and Analytics is indexed and abstracted in ESCI, Ei compendex, Scopus, DBLP Computer Science, Google Scholar, Inspec, CSCD, DOAJ, CNKI, etc.
Excellent Paper Awards, established by the journal Big Data Mining and Analytics, together with TUP and IEEE Xplore in 2019, are for the outstanding papers published in the past two years based on the high quality and international influence.
Journal websites：https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253
https://www.sciopen.com/journal/2096-0654
##
About Tsinghua University Press
Established in 1980, belonging to Tsinghua University, Tsinghua University Press (TUP) is a leading comprehensive higher education and professional publisher in China. Committed to building a top-level global cultural brand, after 41 years of development, TUP has established an outstanding managerial system and enterprise structure, and delivered multimedia and multi-dimensional publications covering books, audio, video, electronic products, journals and digital publications. In addition, TUP actively carries out its strategic transformation from educational publishing to content development and service for teaching & learning and was named First-class National Publisher for achieving remarkable results.