The Application of KDD in HIS

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This paper summarizes the concepts of AI(artificial intelligence), ML(machine learning) and KDD (knowledge discovery in databases), including the development, definition, 5 knowledge types, 7 tasks, processes and technologies of KDD. It also introduces the HIS(hospital information system), including the introduction and benefits and HIS in China. At last the paper illustrates the application of KDD in HIS, especially in detecting and explaining key information from databases.

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1510-1514

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December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Fayyad, Usama; Gregory Piatetsky-Shapiro, and Padhraic Smyth (1996). "From Data Mining to Knowledge Discovery in Databases". Retrieved 2008-12-17.

Google Scholar

[2] Mario Cannataro; Domenico Talia (January 2003). "The knowledge grid: An Architecture for Distributed Knowledge Discovery". Communications of the ACM 46 (1): 89–93. doi:10.1145/602421.602425. Retrieved October 17, 2011.

DOI: 10.1145/602421.602425

Google Scholar

[3] R.R. Bouckaert; E. Frank; M.A. Hall; G. Holmes; B. Pfahringer; P. Reutemann; I.H. Witten (2010). "WEKA Experiences with a Java open-source project". Journal of Machine Learning Research 11: 2533–2541. "the original title, "Practical machine learning", was changed [...] The term "data mining" was [added] primarily for marketing reasons."

DOI: 10.1007/978-0-387-09823-4_66

Google Scholar

[4] "Data Mining Curriculum". ACM SIGKDD. 2006-04-30. Retrieved 2011-10-28.

Google Scholar

[5] Clifton, Christopher (2010). "Encyclopædia Britannica: Definition of Data Mining". Retrieved 2010-12-09.

Google Scholar

[6] Ian H. Witten; Eibe Frank; Mark A. Hall (30 January 2011). Data Mining: Practical Machine Learning Tools and Techniques (3 ed.). Elsevier. ISBN 978-0-12-374856-0.

DOI: 10.1145/2020976.2021004

Google Scholar

[7] Kantardzic, Mehmed (2003). Data Mining: Concepts, Models, Methods, and Algorithms. John Wiley & Sons. ISBN 0-471-22852-4. OCLC 50055336.

Google Scholar

[8] Proceedings, International Conferences on Knowledge Discovery and Data Mining, ACM, New York.

Google Scholar