Parallel execution of distributed SVM using MPI (CoDLib)

• 主要な著者: Salleh N.S.M., Suliman A., Ahmad A.R.
• その他の著者: 54946009300
• フォーマット: Conference paper
• 出版事項: 2023
• 主題: Distributed SVM; LIBSVM; Message Passing Interface (MPI); Support Vector Machine (SVM); Cluster computing; Data mining; Information technology; Message passing; Parallel architectures; Computational time; Data classification; Data sets; Distributed and parallel computing; Memory requirements; Message Passing Interface; Multiple machine; Parallel executions; Support vector; SVM algorithm; Training time; Support vector machines

Support Vector Machine (SVM) is an efficient data mining approach for data classification. However, SVM algorithm requires very large memory requirement and computational time to deal with very large dataset. To reduce the computational time during the process of training the SVM, a combination of d...