Two component data representation using piecewise approximation and specific points for IoT

Journal: 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

Citation: 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, pp.1191-1193

Keyword: Approximation Data compression Dynamic time warping IoT K-nearest neighbors algorithm Time series

Mesh Keyword: Approximation Data approximation Data representations Dynamic time warping Individual devices Industrial systems K-nearest neighbors Time series classifications

All Science Classification Codes (ASJC): Computer Networks and Communications Computer Science Applications Information Systems Information Systems and Management Artificial Intelligence

Abstract: In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.

URI: https://aurora.ajou.ac.kr/handle/2018.oak/36289
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85059479552&origin=inward

Journal URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8509497

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