Using Time-series Models to Analyze and Forecast the Sea Meteorology

• Main Authors: Chen, Yen-Fu, 陳彥甫
• Other Authors: Huang, Jen-Peng
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/54831181859671399055

碩士 === 南台科技大學 === 資訊管理系 === 101 === Time Series Data have natural ordering. It results from the observation of all things often changes regularly according to time variation. Comprise methods for analyzing called Time Series Analysis. In nature. there are plenty data present time series to reveal can solve problems. Examples a data cannot be analyzed by formula of Distribution theory but can investigate variation reasons by Time Series Analysis. In recent years. skill of data mining is widely applied on kinds of data analysis. Time Series precisely is one of the important researches of data mining. It counts Time Series can be found from data mining and also helpful for executives making policies. Nowadays.marine climate is widespread and different in seasons. Meanwhile. information provided depends on different time spot and sea. In view of above factors. this research is related to analysis via data mining of Time Series for marine climate now and in the future. Furthermore.we also can observe the flood/ebb tide and sea level in seasons. Regarding to mining. this research source obtain through buoy floating for a long- time observation. The Time Series can be explored and explained after analysis. and it is also a useful data for executives.