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Due to their online learning nature, incremental clustering techniques can handle a continuous stream of data. In particular, various incremental clustering techniques based on Adaptive Resonance Theory (ART) have been shown to have low computational complexity in adaptive learning and are less sensitive to noisy information. However, parameter regularization in existing ART clustering techniques...
Nowadays, face-to-face interpersonal communication has been gradually replaced by communications via virtual social network platforms, which applies to the new generation of education. The amount of user-generated data in social networking sites is increasing day by day. Understanding and consuming this great amount of data has become a harder task. Classifying the user-generated data (mainly text)...
Learning theory in education has progressed dramatically with the rapid development of modern technologies. Modern learning theory has found that learning performance can be improved effectively through cooperative/ collaborative learning. How to group students in one class based on their different learning capabilities is a key to success in education. Two grouping types of homogeneous and heterogeneous...
The global educational landscape is changing due to the advancement of technologies and services, some have termed it as the "climate change" in education. The students of today engage with the learning environment differently from the students of yesterday. The traditional landscape is often perceived as "formal", "passive", "direct", and "push" learning...
This paper addresses a fuzzy multi-objective decision making of the advertising budgeting allocation as well as its application at the tactical level. The enterprises always want to find an optimal allocation of advertising budget in order to maximize the advertising effectiveness, which is generally represented by the viewerspsila number. However, the viewerspsila data collected by the media just...
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