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ORCIDChitrakant Banchhor
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Journal Articles
- 2022
[j6]Chitrakant Banchhor, N. Srinivasu:
Holoentropy based Correlative Naive Bayes classifier and MapReduce model for classifying the big data. Evol. Intell. 15(2): 1037-1050 (2022)- [j5]Chitrakant Banchhor, N. Srinivasu:
Grey Wolf Shuffled Shepherd Optimization Algorithm-Based Hybrid Deep Learning Classifier for Big Data Classification. Int. J. Swarm Intell. Res. 13(1): 1-20 (2022) - [j4]Chitrakant Banchhor, N. Srinivasu:
A comprehensive study of data intelligence in the context of big data analytics. Web Intell. 20(1): 53-66 (2022) - 2021
- [j3]Chitrakant Banchhor, N. Srinivasu:
Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework. J. Big Data 8(1): 81 (2021) - 2020
- [j2]Chitrakant Banchhor, N. Srinivasu:
Integrating Cuckoo search-Grey wolf optimization and Correlative Naive Bayes classifier with Map Reduce model for big data classification. Data Knowl. Eng. 127: 101788 (2020) - [j1]Chitrakant Banchhor, N. Srinivasu:
FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification. J. Intell. Syst. 29(1): 994-1006 (2020)
Conference and Workshop Papers
- 2023
- [c1]Sanjeev Kumar Verma, Digvijay Singh, Yogita Yashveer Raghav, S. Hemelatha, S. Kannimuthu, Chitrakant Banchhor:
Collaborative MAC Protocol Design for Enhanced Network Lifetime in Mobile Ad Hoc Networks. IC3I 2023: 2082-2088
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