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.
Essential difference between topic detection and text clustering is distribution of news corpus and time characteristics of news corpus. So we should study topic detection according to the news corpus, and it is necessary for news corpus to be in-depth and extensive research. Vector space model (VSM) is one of the most simple and effective topics representation model. And K-means is a well-known and...
In order to solve the problem of big customer churn for fixed communication network operators, a prediction model of customer churn in fixed communication network is first established based on RBF neural network, and it can make prediction on customer churn. Then subdivides customers by Analog Complexion Cluster to guide and help manage marketing and related work.
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.