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Information Journal Paper

Title

DETECTION OF WAVE BUOY ROUGH DATA ERRORS USING THE LOCAL OUTLIER FACTOR

Pages

  66-78

Keywords

LOCAL OUTLIER FACTOR (LOF)Q1

Abstract

 Sea states are usually obtained using WAVE BUOYs. Wave recording using these WAVE BUOYs is usually associated with some errors. So before extracting any information from this data it is necessary to identify and remove or correct them. The aim of this paper is identifying the errors in wave records of buoys using local outlier factor (LOF) method. LOF is a powefull method to identify anomalies in the data in machine learning which is used in many practical applications. In this paper the daily WAVE DATA of Asalouye of Boushehr Province in PERSIAN GULF recorded by PMO buoy in the period 17/02/92 to 01/05/92 was analysed for errors using this method. The results show that LOF is an efficient method to detect errors in WAVE DATA loggers.

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  • Cite

    APA: Copy

    MAHMOUDI, KUMARS, & KETABDARI, M.. (2016). DETECTION OF WAVE BUOY ROUGH DATA ERRORS USING THE LOCAL OUTLIER FACTOR. IRANIAN JOURNAL OF MARINE TECHNOLOGY, 3(1), 66-78. SID. https://sid.ir/paper/251938/en

    Vancouver: Copy

    MAHMOUDI KUMARS, KETABDARI M.. DETECTION OF WAVE BUOY ROUGH DATA ERRORS USING THE LOCAL OUTLIER FACTOR. IRANIAN JOURNAL OF MARINE TECHNOLOGY[Internet]. 2016;3(1):66-78. Available from: https://sid.ir/paper/251938/en

    IEEE: Copy

    KUMARS MAHMOUDI, and M. KETABDARI, “DETECTION OF WAVE BUOY ROUGH DATA ERRORS USING THE LOCAL OUTLIER FACTOR,” IRANIAN JOURNAL OF MARINE TECHNOLOGY, vol. 3, no. 1, pp. 66–78, 2016, [Online]. Available: https://sid.ir/paper/251938/en

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