Publication Type : Conference Paper
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Elsevier Procedia Computer Science
Source : International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 306-313, 2014 (Scopus)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication
Verified : Yes
Year : 2014
Abstract : Implementation of data mining algorithms with low cost is one of the challenging tasks in the present world of massively increasing data. The key idea of this paper is to utilize the functionalities of Mathematica which is freely accessible on Raspberry Pi for the purpose of implementing Multi-label classification algorithm with low cost. With the facilities available in Mathematica software for Raspberry Pi, the line of code required for implementing data mining algorithms can be reduced sufficiently. Use of Random Kitchen Sink algorithm improves the accuracy of Multi-label classification and brings improvement in terms of memory usage for large dataset. © 2015 The Authors
Cite this Research Publication : Neethu J, R Surya, R Ashwini, Sachin Kumar S, KP Soman, A low cost implementation of multi-label classification algorithm using Mathematica on Raspberry Pi, International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 306-313, 2014 (Scopus)