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Virtual learning community is a kind of learning environment based on network is a new type of learning organization. However, Virtual Learning Community in the teaching data is often messy, fragmentary, it's value is often difficult to be detected and reasonable to use data mining techniques to deal with data will give us a analysis to study the effect of get twice the result with half the effort...
In order to mine the abnormal learning behavior of learner in virtual learning community and carry on personalized supervision and guidance, behavior filtering model based on the factor analysis of the behavior is constructed to solve the problem of the relationship between behavior factors in the learning behavior vector space model. In view of the disadvantage of neglecting local abnormal points...
With the rapid development of technology, Internet has changed people's lives and online community has become a comprehensive platform for exchanging ideas and shopping. This study develops and tests an environmental psychology model of online impulse purchase. The model captures the moderating effect of search and experience product type on the relationship between the online impulse buying intention...
Collaborative and inquiry learning in the Virtual Learning Community is a new kind of online learning. The learners construct their own knowledge by interactive learning in the community. Some log records and related learners' learning behavior information is generated in the experimental platform of the virtual learning community. Statistical tools of SPSS and Excel are used to explore the learning...
This paper deals with the approximate merging problem of two adjacent DP curves with different degrees by a single curve. We first transform the DP curves into the Bézier curves. Then, we merge Bézier curves. Finally, we transform the Bézier curve back into the DP curve. In the end of this paper, numerical examples are provided to demonstrate the validity and efficiency of our algorithms.
It is a very important content for the design and development of automatic ocean surveillance system to make the data acquisition, storage, processing and transmission of ocean surveillance effective. The thesis puts forward a special design method and plan of ocean surveillance multifunctional data acquisition process equipment in detail which provides a great deal of signal patterns such as, analog...
By analyzing the characteristics of image local peak signal-to-noise ratio and deciding the chaotic sequence by initial condition and parameters, we use chaotic sequence to generate the watermarking signal and locate the embedding position of watermark signal with chaotic encryption. We build transparent watermarking testing model and analyze the local peak signal-to-noise ratio based transparent...
There is an increasing need for e-learning sites to provide personalized learning objectives recommendation to learners. This paper proposes a new type of recommendation agent based on cognition inference. This recommendation agent is designed to give personalized suggestions based on cognitive preference of target learner, and common preferences of other learners who own similar cognitive style with...
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