Volume 11 - Volume 11
Temporal Pattern Classification and Analysis of Large Volume of Data Using Associated Data Placement Algorithm and Online Community Adjustment
Abstract
Aim: The main motto of the study is to optimize the large volume of data using data placement
algorithm and online community adjustment algorithm and comparing their accuracy. Materials and
Methods: Data placement algorithm (N=10) and online community adjustment (N=10) was iterated
20 times to optimize the data. Result and Discussion: Data placement algorithm has significantly
better accuracy (85%) compared to online community adjustment algorithm(78%). The statistical
significance of data placement (p<0.02 independent sample test) is high. Conclusion: With the limits
of the study, a data placement algorithm with product manufacturing data offers the best accuracy in
data optimization.
Paper Details
PaperID: 2190
Author's Name: H. Sudarsan Kumar Raju and Dr.M. Nalini
Volume: Volume 11
Issues: Volume 11
Keywords: Data Placement, Community Adjustment, Innovative Data Optimization, Deep Learning.
Year: 2021
Month: June
Pages: 1327-1338