1. Lozada, N., Arias-Pérez, J., & Perdomo-Charry, G. (2019). Big data analytics capability and co-innovation: An empirical study. Heliyon, 5(10), e02541.
2. Banchhor, C., & Srinivasu, N. (2020). Integrating Cuckoo search-Grey wolf optimization and Correlative Naive Bayes classifier with Map Reduce model for big data classification. Data and Knowledge Engineering, 127, 101788.
3. Tabesh, P., Mousavidin, E., & Hasani, S. (2019). Implementing big data strategies: A managerial perspective. Business Horizons, 62(3), 347–358.
4. Sathyaraj, R., Ramanathan, L., Lavanya, K., & Balasubramanian, V. (2020). Chicken swarm foraging algorithm for big data classification using the deep belief network classifier. Data Technologies and Applications.
5. Ramsingh, J., & Bhuvaneswari, V. (2018). An efficient Map reduce-based hybrid NBC-TFIDF algorithm to mine the public sentiment on diabetes mellitus—A big data approach. Journal of King Saud University-Computer and Information Sciences.