Abstract:

With the advent of the big data era, data mining becomes an important technique for Library and Information Science researchers and practitioners. Thus, data mining also becomes an important course in this discipline. In this study, we identified core knowledge units from relevant text books and master and doctoral dissertations on data mining and constructed the knowledge system of the data mining course to promote teaching and improving quality. Results show that the field of data mining is composed of seven knowledge modules, including basic theory, data mining methods, platforms and tools, supporting technology, mining of complex structural data, data mining applications, and frontier and trends. We also discussed relationships among individual knowledge modules in detail to establish a comprehensive and systematic knowledge system of data mining courses.

Key words: Data mining course, Knowledge system, Co-word clustering textbooks, Master and doctoral dissertations