Abstract
Data mining technology is playing an increasingly important role in information utilizing and extracting. Based on the description of the data mining technology, this paper discusses the application of data mining in the digital libraries from three aspects, describes the necessity of data mining technology in digital libraries, and puts forward a mining system model based on data mining technology in digital libraries.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Xiangyang, Z.: Data mining technology and information services in urban construction archives Applications. Archival Science Communication, 3 (2005)
Mo, L.: Web-based data mining technology in digital library application. University Library and Information Science, 4 (2007)
Qian, H.: College Library search tools use. Commerce, 8 (2010)
Liu, L.: Data mining technology in the “Police Technology Information” database application. Chinese People’s Public Security University (Natural Science), 1 (2006)
Wan, J.: Library under the Network Environment User knowledge mining. College Library and Information Forum, 3 (2005)
Xiaolan, F.: Data mining application in digital libraries. Heihe Sciences, 2 (2011)
Wide, L., first Lee, W.: Data mining applications in Digital Libraries Research, p. 2. New Century Library (2012)
Zhihong, S.: Data mining - the Internet age of information services essential skills. Information Development & Economy, 10 (2007)
Jinmei: Based on data mining techniques Library. Information Development & Economy, 36 (2008)
Hongxia, Y.: Based on data mining technology library management. Information Development & Economy, 12 (2011)
In the light, Jing, W.: University Library under the Network Environment Information Service. National Library Science, 4 (2003)
Zhao, C.-Y.: Data mining technology and its application in University Library. Beijing College of Political Science, 3 (2007)
Quan, Y.G.: Data mining personalized services in the digital library application. Dongguan University of Technology, 3 (2004)
Na, C.: Data Mining Research Status and Development Direction. Computer and Information Technology, 1 (2006)
Rui, W., Tao, M., Chen, C.: Data Mining and Its Application Status Analysis. Computer Application Technology, 2 (2007)
Bo, X.: MPEG-21 framework standards and Intelligent Information Push Technology, television technology, 8 (2002)
Xiaodong, L., Liu, D.: Patent overview of data mining. Electronic Technology, S1 (2003)
Hui, L., Daiji, H.: Data mining technology development and its application. Gansu Science and Technology, 4 (2006)
Shuwan, J.: Library under the Network Environment User knowledge mining. College Library and Information Forum, 3 (2005)
Zhao, Z., Yan, F.: Commerce technology research and application of data mining study, p.4. Hunan Economic Management Institute (2001)
Branch XI, J., Shun, Y.T.: Web data integration data mining research. Computer Engineering and Design, 8 (2006)
Liang, S.J.: Intelligent search engine. Technology Consulting Herald, 15 (2007)
The Index System Yang: Data mining technology in the Web Application Discussion. Chinese new technologies and products, 8 (2009)
Ju, M., Siu, L., Jie: WEB-based data warehouse and business marketing decision support system design. Market Modernization, 5 (2007)
Haili, Y., Emily: Using a data mining methods to solve network congestion problems. Qingdao Technological University, 5 (2005)
Zhao, C.-Y.: Data mining technology and its application in University Library. Beijing College of Political Science, 3 (2007)
Yu, D., Fuqiang, L.: Web-based data mining system research and design. Electronic Technology, 11 (2008)
Shan, Z., Tingting, X.: Web-based data mining in e-commerce application. Xiaogan University, p. 3 (2010)
Qin, L.Z.: Web data mining in college construction site in the use of Computer Knowledge and Technology, p. 25 (2011)
Yun, S., Han, L., Dong, J., Chen, D.: KDW Summary : Web-based data mining. Computer Engineering (January 2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bin, C. (2013). Study on Data Mining in Digital Libraries. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53703-5_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-53703-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53702-8
Online ISBN: 978-3-642-53703-5
eBook Packages: Computer ScienceComputer Science (R0)