Data Mining: Medical and Engineering Case Studies
作者： A. Kusiak
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摘要: In the paper problem of predicting outcomes in medical and engineering applications is discussed. The solved with a data mining approach. first two algorithms presented generates solution that validated second algorithm. constitutes final decision.
参考文章(14)
Glen A. Lillington, Management of the solitary pulmonary nodule Hospital Practice. ,vol. 28, pp. 41- 48 ,(1993) , 10.1080/21548331.1993.11442789
J. Kunz, Buchbesprechung: Data Mining Techniques- For Marketing, Sales, and Customer Support by M. Berry and G. Linoff und Data Mining - A Hands-On Approach for Business Professionals by R. Groth. Datenbank Rundbrief. ,vol. 21, pp. 90- 91 ,(1998)
Sholom M. Weiss, Nitin Indurkhya, Predictive Data Mining: A Practical Guide ,(1997)
Wojciech Kowalczyk, Frank Slisser, Modelling Customer Retention with Rough Data Models european conference on principles of data mining and knowledge discovery. pp. 4- 13 ,(1997) , 10.1007/3-540-63223-9_101
Arun K Pujari, Data Mining Techniques ,(2001)
Zdzisław Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data ,(1991)
Robert Groth, Data Mining: A Hands on Approach for Business Professionals ,(1997)
Gary A. Klein, A recognition-primed decision (RPD) model of rapid decision making. Ablex Publishing. ,(1993)
Jerzy W. Grzymala-Busse, A New Version of the Rule Induction System LERS Fundamenta Informaticae. ,vol. 31, pp. 27- 39 ,(1997) , 10.3233/FI-1997-3113
Gordon Linoff, Michael J. Berry, Data Mining Techniques: For Marketing, Sales, and Customer Support ,(1997)