Research of Personalized Information Service Based on Association Rules

Qing Song Zhang; Xin Yu Wang

doi:10.4028/www.scientific.net/AMR.760-762.1800

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Research of Personalized Information Service Based...

Research of Personalized Information Service Based on Association Rules

Abstract:

Association rules mining technology is a new data processing technology. Its algorithm and application play a very important role in the library. Obtaining personalized information of readers effectively and automatically is the key to carry out individualized service of university library. By using association rules technology, the library mine transaction data generated in the process of library service. And it also can have an access to various types of readers' information demand model, thus can provide accurate service for readers.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1800-1803

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1800

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Online since:

September 2013

Authors:

Qing Song Zhang, Xin Yu Wang

Keywords:

Association Rule, Data Mining (DM), Individualized Service

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References

[1] Chen Jingmin. Data warehouse and data mining technology [M]. Publishing House of electronics industry, 2010(11): 184-191.

Google Scholar

[2] Peng Yipu, Xiong Yongjun. Application of the association mining in the analysis of literature borrowing history data [J]. Journal of information, 2010 (8): 40-44.

Google Scholar

[3] Su Kun. Study of the library personalized service based on association rules [J]. Information Sciences in agriculture, 2010 (6): 246-249.

Google Scholar

[4] Tao Minghua. A efficient information retrieval algorithm [J]. Commercial perspective. 2011 (1): 192-193.

Google Scholar

[5] Mao Guoqun. The principle and algorithm of data mining [M]. Tsinghua University press, 2011(7): 64-83.

Google Scholar

[6] Zhou Jun. Construction of the digital library personalized service system based on data mining [J]. Library science research, 2011 (3): 106-108.

Google Scholar

[7] Zhu Xiaohua. Application of the data mining in the library automation [J]. Library study, 2012 (5): 41-42, 45.

Google Scholar

[8] Zhang Wenlong. The implementation and design of University digital library personalized service based on data mining [D]. Master Dissertation of South China University of Technology, 2010(11): 2-11.

Google Scholar