TY - GEN
T1 - A Comparison between Correlation and Grey Relational for Big Data and Analytics
AU - Tritham, Chatchai
AU - Lekawat, Lertsak
AU - Arrayangkool, Autthasith
AU - Viwatwongkasem, Chukiat
AU - Satitvipawee, Pratana
AU - Soontornpipit, Pichitpong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Recently, several methods to find similarity of data format and correlation between data and signal have been used for solving correlation of these things. The disadvantages of the methods are spent period of processing time, which are not suitable for large quantities of data. The objectives of this study were: 1) to review correlation and grey relational algorithm, 2) to compare between Pearson correlation coefficient and grey relational analysis, and 3) to examine experimental data for big data and analytics. Comparisons between grey relational and correlation function were used in MATLAB. Result of an analysis dedicated that three factors of the study follow: 1) period of processing time, 2) value of similarities, and 3) accuracy of information. The findings suggest that grey relational analysis takes the time to process less than correlation and more appropriate of the development and growth of Internet of Things.
AB - Recently, several methods to find similarity of data format and correlation between data and signal have been used for solving correlation of these things. The disadvantages of the methods are spent period of processing time, which are not suitable for large quantities of data. The objectives of this study were: 1) to review correlation and grey relational algorithm, 2) to compare between Pearson correlation coefficient and grey relational analysis, and 3) to examine experimental data for big data and analytics. Comparisons between grey relational and correlation function were used in MATLAB. Result of an analysis dedicated that three factors of the study follow: 1) period of processing time, 2) value of similarities, and 3) accuracy of information. The findings suggest that grey relational analysis takes the time to process less than correlation and more appropriate of the development and growth of Internet of Things.
KW - Grey relational analysis
KW - big data and analytics
KW - correlation
KW - correlation coefficient
KW - internet of things
UR - https://www.scopus.com/pages/publications/85066604779
U2 - 10.1109/IEECON.2018.8712236
DO - 10.1109/IEECON.2018.8712236
M3 - Conference contribution
AN - SCOPUS:85066604779
T3 - iEECON 2018 - 6th International Electrical Engineering Congress
BT - iEECON 2018 - 6th International Electrical Engineering Congress
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Electrical Engineering Congress, iEECON 2018
Y2 - 7 March 2018 through 9 March 2018
ER -