Finding Multiple Outliers from Multidimensional Data using Multiple Regression
نویسندگان
چکیده
The knowledge of weather is useful for finding climate change over a period. In this present frame work uses 15 years of weather of Hyderabad city , data a real time the datasets collected from weather station. Weather data is a time series and multidimensional data. Outliers are the objects whose behavior is different from the rest. Outliers in weather data represent the cyclone, drought, seasonal change or heavy rains .In this paper multiple regression model is used on weather data. All the parameters are strongly related so regression model is well suited for weather data. We are used an Excel statistical tool is used for visual and models generated. Key terms: Outliers, multidimensional, multiple regression, climate change
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