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Exploration on Data Recommendation Prototype Based on Data-Sharing-Platform

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 124))

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Abstract

This paper designed and implemented a data recommendation prototype system; this system records the user’s input information and organizes it into the appropriate thesaurus by using the Apriori algorithm and the edit distance algorithm; when the next time the user enters a query keyword, the system can recommend appropriate keywords to the user. Data recommendation system has been applied at the national population and health scientific data sharing platform to provide users with recommendation query service.

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References

  1. Agrawal, R., Faloutsos, C., Swami, A.: Ef-cient similarity search in sequence databases. In: Proc. of the Fourth International Conference on Foundations of Data Organization and Algorithms, Chicago (October 1993)

    Google Scholar 

  2. Agrawal, R., Ghosh, S., Imielinski, T., Iyer, B., Swami, A.: An interval classier for database mining applications. In: Proc. of the VLDB Conference, Vancouver, British Columbia, Canada, pp. 560–573 (1992)

    Google Scholar 

  3. Agrawal, R., Imielinski, T., Swami, A.: Database mining: A performance perspective. IEEE Transactions on Knowledge and Data Engineering 5(6), 914–925 (1993); Special Issue on Learning and Discovery in Knowledge-Based Databases

    Article  Google Scholar 

  4. Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proc. of the ACM SIGMOD Conference on Management of Data, Washington, D.C. (May 1993)

    Google Scholar 

  5. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. Research Report RJ 9839, IBM Almaden Research Center, San Jose, California (June 1994)

    Google Scholar 

  6. Brachman, R., et al.: Integrated support for data archeology. In: AAAI 1993 Workshop on Knowledge Discovery in Databases (July 1993)

    Google Scholar 

  7. Han, J., Cai, Y., Cercone, N.: Knowledge discovery in databases: An attribute oriented approach. In: Proc. of the VLDB Conference, Vancouver, British Columbia, Canada, pp. 547–559 (1992)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhang, X., Zheng, L. (2012). Exploration on Data Recommendation Prototype Based on Data-Sharing-Platform. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_48

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  • DOI: https://doi.org/10.1007/978-3-642-25781-0_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25780-3

  • Online ISBN: 978-3-642-25781-0

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