Hybrid classifier model for big data by leveraging map reduce framework
Vedula Sitharamulu, K. Rajendra Prasad, K. S. Raghavendra Reddy, A.V. Krishna Prasad, M. Venkat Dass · International Journal of Data Mining Modelling and Management · 2024
Big data technology is popular and desirable among many users for handling, analysing, and storing large data.However, clustering the large data has become more complex due to its size.In recent years, several techniques have been presented to retrieve the information from big data.The proposed hybrid classifier model CSDHAP, the hybridised form of sun flower optimisation (SFO) and deer hunting optimisation (DHO) algorithms with CNN, Bi-LSTM, NB, LSTM, and DBN, correspondingly.