Enhancement of lag time query on hydrologic data using clipping technique and logic-based correlation

Author

Fungwacharakorn, Wachara ; Pattara-atikom, Wasan

Author_Institution

Nat. Electron. & Comput. Technol. Center, Intell. Transp. Syst. Lab., Pathum Thani, Thailand

fYear

2014

fDate

14-17 May 2014

Firstpage

1

Lastpage

6

Abstract

Lag time is a fundamental property on hydrology. However, lag time query may take large amount of space and time. In this paper, we explore clipping, a simple discretization technique, to resolve space and time complexity and enhance the accuracy of lag time query on clustering. The result shows that the hydrologic data are satisfied with clipping and hence they could be classified using clipping technique and logic-based correlation with less space and time.

Keywords

computational complexity; data handling; hydrological techniques; hydrology; pattern classification; pattern clustering; query processing; classification; clipping technique; clustering; discretization technique; hydrologic data; hydrology; lag time query enhancement; logic-based correlation; space complexity; time complexity; Accuracy; Correlation; Data models; Hydrology; Rivers; Shape; Time series analysis; clipping; clustering; hydrology; lag time;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on

Conference_Location

Nakhon Ratchasima

Type

conf

DOI

10.1109/ECTICon.2014.6839813

Filename

6839813