BIG DATA CLASSIFICATION USING EVOLUTIONARY TECHNIQUES: A SURVEY
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.9, No. 5)Publication Date: 2018-12-28
Authors : Punnagai N;
Page : 229-234
Keywords : Big data; Genetic algorithm; clustering; Neural networks; Swarm Intelligence; Co-evolutionary programming; Naïvebayes and Decision trees;
Abstract
Data over the internet has been rapidly increasing day by day. automatically mine useful information from the massive data has been a common concern for the Organisations having large dataset. In order to reduce risk in future valuable information can be extracted from the sentiments of the message. Big Data has mainly three characteristics namely Velocity, Volume and Variety, on the basis of these characteristics data can be classified in three Ways-supervised, unsupervised and semi supervised methods. Various algorithms and techniques are recently proposed for Clustering and Classification of the data and E-document. In our report we will discuss & compare widely used evolutionary techniques in big data classification
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Last modified: 2021-07-07 21:15:37