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.
Recent days advancement in sensor and instrumentation technology has seen a large amount of time series data being recorded in our day-to-day life. Knowledge and data mining research has taken up the responsibility of mining the hidden patterns in these huge collection of time series data during the past decade. In this paper we propose methodologies to extract hidden knowledge in a time series data...
Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. In this paper we extract histogram features from the coefficients obtained by applying WaveSim transform on multi-channel signals. WaveSim transform is a reverse approach for generating wavelet transform like coefficients by using a conventional...
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.