The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Time series is a ubiquitous data existed in different domains including finance, medicine, business and other industrial fields. Recently, time series data mining attracts much attention. In this paper, we propose multilayer piecewise aggregate approximation (MPA) to measure the Similarity of time series. The proposed method is constituted of two parts: multi-level segment method based on extreme...
The amount of data in financial data is enormous and mining it has a great value. For stock market, how to effectively select stocks from a reference sector is very important for investors. Based on the co-movement effect between stocks, this paper introduces a concept which is the stock's influence and constructs the influence matrix by using the time series of stocks. Then we divide the new stock...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.