Abstract
Based on Web mining theory and technology, introduced the process of the Web mining. The article proposed a model of intelligent network course system adopts B/S model, mainly includes two problems: the first is intelligent forecast of students visited the curriculum resources; second is dig out the hot course; finally in the form of visualization relayed to the students. System of intelligent core is intelligent forecast recommend system. This model used offline part of mining and the on-line partial mining phase separation mentality, discusses the intelligent network based on Web mining system structure of curriculum system model and its algorithm, and verified algorithm by analysis.
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References
Han J, Kamber M (2006) data mining: concepts and techniques. Translated by Ming F, Xiao-feng M, vol 12(4). China Machine Press , Beijiing, pp 498–508
Zhi-guo Z (2010) Design of architecture of web usage pattern mining system. Inf Syst 33(4):97–101
Li-jun S, Fan-rong M (2007) Research and design of XML-based web text mining model. Comput Eng Design 28(10):2230–2287
Wen-lan F, Guo-lin Y (2009) Research and application of web data mining on personalized search engine. J Inner Mongolia Agric Univ (Social Sci Edn) 30(4):223–226
Hun Y, Bo M (2003) A kind of WED data mining method based on XML. Comput Appl 23(6):160–161
Xue-zhi W, Jing Z, Jun-huai L, Xiao-li Z (2006) A self-adaptive cache schedule optimization algorithm based on data mining of web log. Comput Appl 32(11):116–118
Qiu-ping G, Quan-lan W (2010) One recommendation-system model of digital library and realization based on web mining. Library Work Study 29(6):53–54
Xing-wen L, You-biao Y, Hai-bin C (2007) Study of personalized modern distance education system based on web mining. Comput Eng Design 28(12):3016–3022
Xiao-dong X, Ke L, Shi-rui Z (2010) Research on the improvement of a priori methods used by Web. Comput Eng Design 31(3):539–541
Acknowledgments
This work was supported by the National Natural Science Fund (51079045) and supported by the Natural Science Fund in Jiangsu Province (BK2010264).
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© 2013 Springer-Verlag London
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Zong, Xz., Chen, Zt., Zhang, Hj. (2013). Web Data Mining on Intelligent Network Course System. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 220. Springer, London. https://doi.org/10.1007/978-1-4471-4844-9_108
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DOI: https://doi.org/10.1007/978-1-4471-4844-9_108
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