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This paper proposes a combination of data mining and natural language processing technology, try to analyze students' learning behavior and content in MOOCs interactive part, to dig their learning interest, difficulty, tendencies, to evaluate their homework effect, through the interaction between teachers and students, students posting, homework or answer content, preventing of cheating behavior,...
Column-store databases feature a faster data reading speed compared with traditional row-based databases. However, optimizing write operations in a column-store database is a well-known challenge. Most existing works on write performance optimization focus on main-memory column-store databases. In this work, we extend the research on column-store databases in the Map-Reduce environment. We propose...
Tensor decomposition of fMRI data has gradually drawn attention since it can explore the multi-way data's structure which exists inherently in brain imaging. For multi-subject fMRI data analysis, time shifts occur inevitably among different participants, therefore, shift-invariant tensor decomposition should be used. This method allows for arbitrary shifts along one modality, and can yield satisfactory...
Key-Phrase should not only reflect the main content of a document, but also reflect the specialty of this document. Key-Phrase extraction is an important technique in the field of text information processing. With the advent of the Internet age, on-line file shows an astonishing increase in geometry and information explosion has became the main character of this age. Searching and making use of network...
The assessment model has been proposed with the neural network technology applied to the assessment research of the water environmental quality. The parameters in the model can be acquired on the basis of the sample data of the standard values and the relative levels from the environmental quality standards for surface water. Moreover, the assessment model has been applied to the water environmental...
With the popularization of e-commerce in recent years, customer relationship management (CRM) has gained much attention. Many companies have initiated projects to improve on customer orientation and plan the implementation of CRM systems. Among the desired benefits are increased customer satisfaction and retention by providing personalized products and value added services. With the aid of data warehouse,...
There are many challenges of data sharing both in grid environment and traditional data integration domains, such as sharing between heterogeneous, distributed data sources. In grid environment, there are many specific features: limited data sharing, frequently changing data sources and large amounts of concurrent users. Under these conditions, it is strongly needed to provide more usable, more flexible...
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