Verification and validation of Parallel Support Vector Machine algorithm based on MapReduce Program model on Hadoop cluster
- Title
- Verification and validation of Parallel Support Vector Machine algorithm based on MapReduce Program model on Hadoop cluster
- Creator
- Kiran M.; Kumar A.; Prathap B.R.
- Description
- From the recent years the large volume of data is growing bigger and bigger. It is difficult to measure the total volume of structured and unstructured data that require machine-based systems and technologies in order to be fully analyzed. Efficient implementation techniques are the key to meeting the scalability and performance requirements entailed in such scientific data analysis. So for the same in this paper the Sequential Support Vector Machine in WEKA and various MapReduce Programs including Parallel Support Vector Machine on Hadoop cluster is analyzed and thus, in this way Algorithms are Verified and Validated on Hadoop Cluster using the Concept of MapReduce. In this paper, the performance of above applications has been shown with respect to execution time/training time and number of nodes. Experimental Results shows that as the number of nodes increases the execution time decreases. This experiment is basically a research study of above MapReduce applications. 2013 IEEE.
- Source
- ICACCS 2013 - Proceedings of the 2013 International Conference on Advanced Computing and Communication Systems: Bringing to the Table, Futuristic Technologies from Around the Globe
- Date
- 2014-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Hadoop; LIBSVM; Machine Learning; MapReduce; MultiFileWordCount; Parallel SVM; SVM; WEKA Tool
- Coverage
- Kiran M., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Kumar A., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India; Prathap B.R., Department of Computer Science and Engineering, Christ University Faculty of Engineering, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-147993506-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kiran M.; Kumar A.; Prathap B.R., “Verification and validation of Parallel Support Vector Machine algorithm based on MapReduce Program model on Hadoop cluster,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/21045.