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.
literature infrastructure was obtained using bibliometrics and literature of the co-keyword network was visualized. It show how co-word analysis techniques can be used to study R&D in enterprises. The results of the study can help support strategic decision-making on the direction of S&T programs in enterprises.
three different unsupervised learning methods for identifying topics among domain name keywords: spherical k-means clustering (SKM), Latent Dirichlet Allocation (LDA), and the Biterm Topic Model (BTM). We successfully infer semantically coherent groups of words in two independent data sets, finding that BTM topics are
incidents documents in text or typing keywords. Furthermore, the rules resulting from the rule generation from the decision tree could be properly kept in a knowledge database in order to support and assist with future assignments.
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.