Jiawei Han, Micheline Kamber, and Jian Pei. The Morgan Kaufmann Series in Data Management Systems. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012.
S. Picoli, M. del Castillo-Mussot, H.V. Ribeiro, E. K. Lenzi, and R.S. Mendes. Universal bursty behaviour in human violent conflicts. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012.
David Condaminet, Albrecht Zimmermann, and Sylvain Pluchon. Using Data Science to Improve the Identification of Plant Nutritional Status. IEEE Conference on Data Science and Advanced Analytics (DSAA) 2020.
Shivam Tyagi, Rashmi Kumari, Sarath Chandra Makkena. Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms. IEEE Conference on Data Science and Engineering (ICDSE)
Rosfarahanun Ali, Nor Azuana Ramli, and Lilik J. Awalin. Analysis on Power Outage by using Big Data Analytics. IEEE Conference on Data Analytics for Business and Industry (ICDABI) 2020.
Chaitali Chandankhede, Pratik Devle, and Abhijit Waskar. ISAR: Implicit Sentiment Analysis of User Reviews. IEEE Conference on Computing, Analytics and Security Trends (CAST) 2016.
Sandhyalati Behera and Mihir Narayan Mohanty. Detection of Ocular Artifacts using Bagged Tree Ensemble Model. IEEE Conference on Applied Machine Learning (ICAML) 2019.
Mark A. Bolstad. Large-Scale Cinematic Visualization Using Universal Scene Description. IEEE Symposium on Large Data Analysis and Visualization (LDAV) 2019.
Dan Halbersberg and Boaz Lerner. Temporal modeling of deterioration patterns and clustering for disease prediction of ALS patients. IEEE Conference on Machine Learning and Applications (ICMLA) 2019.
Yijie Yang, Yang Song, and Yinan An. A General Data Renewal Model for Prediction Algorithms in Industrial Data Analytics. IEEE Conference on Power Data Science (ICPDS) 2019.