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.
In the past, many researches had focused on discussions related to the importance of word-of-mouth (WOM) that affects consumer behavior. In this research, the antecedents of WOM behavior will be discussed from WOM senders’ perspectives. It covers consumers’ identity-related judgment, affective identification, and continuance commitment. Furthermore, discussions will also be made regarding whether...
Classification, searching, monitoring, and analyzing of patent are time consumption tasks and they will significantly influence the decision-making of intellectual property on optimizing resource allocation in knowledge or technology-intensive enterprises. In the age of fundamental change, the rapidly growth of patent documents has become one of the difficult problems in developing an efficient patent...
In this paper, we proposed a novel house prediction model that integrated hybrid genetic-based support vector regression (HGA-SVR) model and feng shui theories for developing a high accuracy appraising real estate price system in Taiwan. In Taiwan, feng shui theory applies in choosing good days, divination and house selection. From the past researches, many factors might affect the real estate price...
This paper proposed a novel multi-objective affinity set (MO affinity set) classification system comparing with ant colony optimization (ACO) and affinity set theory on delayed diagnosis dataset classification. The output of MO affinity set classification rules has the higher accuracy than ACO and traditional affinity set. Furthermore, our MO affinity set classification skips the traditional affinity...
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.