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While e-commerce has grown substantially over last several years, more and more people are utilizing this popular channel to purchase products and services. Thus the ability to predict user demographics, including gender, age and location has important applications in advertising, personalization, and recommendation. In this paper, we aim to automatically predict the users' genders based on their...
Aircraft icing can seriously affect the safety of aircraft, and different types of aircraft icing have an effect on the aircraft safety to various extents. A SVM (Support Vector Machine) model for aircraft icing type prediction is presented to classify aircraft icing types. The input variables of icing type are analyzed, and then based on the analysis, the appropriate forecast methods are chosen and...
A daily gas load forecasting method based on Support Vector Machine theory is developed in this paper. Some aspects of data preprocessing are discussed, such as normalization method, data grouping method and the period of history data using as input vector. Proper normalization method, which is to map gas load data from the small and narrow range to the big and wide, will improve the forecasting accuracy...
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