Hybrid classifier model for big data by leveraging map reduce framework
V. Sitharamulu, K. Rajendra Prasad, K. S. Reddy, A.V. Krishna Prasad, M. Venkat Dass
Abstract
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
Topics & Concepts
Computer scienceBig dataClassifier (UML)Artificial intelligenceMap reduceData miningMachine learningData Mining Algorithms and ApplicationsData Stream Mining TechniquesAdvanced Computational Techniques and Applications