Distribution Preserving Kernel Based Supervised Machine Learning Algorithms for Big Data

Abstract: Data mining is the process of sorting through large datasets to identify patterns and establish relationships to solve problems through data analysis. Data mining is a technique which is used to separate the accurate value from the dataset. Support vector machine is a supervised machine learning algorithm used for classification and regression, SVM mainly used to classifies the datasets to improve classification accuracy, several SVM algorithm are there such as LIB-SVM,DC-SVM,CA-SVM and Dip-SVM these algorithms are used to find the accuracy and performance while performing classification in data mining. Dip-SVM also reducing the communication overhead between clusters.

Keywords: Classification, SVM, Dip-SVM, CA-SVM, DC-SVM.