Research on the Mining Pattern of Big Data Based on Distance Teaching Viewpoint
Teaching big data is a complex set of classic data and non-classic data formed in multi-source heterogeneous， discontinuous and interference environments. From the viewpoint of teaching big data mining， this paper increases Web data and image data， and expands the traditional mining data sources. Put forward the concept of teaching viewpoint and data viewpoint and construct a teaching data mining framework based on them. Taking the distance learning process as an example， this paper puts forward the related factors of data mining from different perspectives such as teachers， learners， managers， resource designing and teaching event processing. Study a variety of data source mining methods and complete the causal relationship and related relationship analysis between incidents under the multiple viewpoints. This paper puts forward new ideas and strategies for teaching data mining and puts forward a feasible method for the improvement of teaching quality.
|關鍵詞||教学视点、数据挖掘、挖掘模式、多源异构数据、数据视点、远程教学、Teaching Viewpoint、Data Mining、Mining Mode、Multi-source Heterogeneous Data、Data Viewpoint、Distance Learning、CSSCI|