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Volumn 35, Issue , 2008, Pages 645-648

Visualization of decision rules - From the Cardiologist's point of view

Author keywords

[No Author keywords available]

Indexed keywords

CARDIOLOGY; D REGION; DECISION TREES; VISUALIZATION;

EID: 62249190626     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2008.4749124     Document Type: Conference Paper
Times cited : (7)

References (15)
  • 1
    • 62249089841 scopus 로고    scopus 로고
    • Stefanowski J. On rough set based approaches to induction of decision rules. In: S.A. Polkowski L, editor, Rough Sets in Knowledge Discovery 1. Heidelberg, Germany: Physica-Verlag,1998,500-529.
    • Stefanowski J. On rough set based approaches to induction of decision rules. In: S.A. Polkowski L, editor, Rough Sets in Knowledge Discovery 1. Heidelberg, Germany: Physica-Verlag,1998,500-529.
  • 2
    • 33645983656 scopus 로고    scopus 로고
    • Attribute Selection and Rule Generation Techniques for Medical Diagnosis Systems
    • Ilczuk G, Wakulicz-Deja A. Attribute Selection and Rule Generation Techniques for Medical Diagnosis Systems. Lecture Notes in Computer Science 2005;3642:352-361.
    • (2005) Lecture Notes in Computer Science , vol.3642 , pp. 352-361
    • Ilczuk, G.1    Wakulicz-Deja, A.2
  • 3
    • 38049045604 scopus 로고    scopus 로고
    • Visualization of Rough Set Decision Rules for Medical Diagnosis Systems
    • Ilczuk G, Wakulicz-Deja A. Visualization of Rough Set Decision Rules for Medical Diagnosis Systems. Lecture Notes in Computer Science 2007;4482:371-378.
    • (2007) Lecture Notes in Computer Science , vol.4482 , pp. 371-378
    • Ilczuk, G.1    Wakulicz-Deja, A.2
  • 4
    • 85008461026 scopus 로고
    • Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System
    • Michalski RS, Ibrahim FI. Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. Lecture Notes in Computer Science 1994;869: 416-426.
    • (1994) Lecture Notes in Computer Science , vol.869 , pp. 416-426
    • Michalski, R.S.1    Ibrahim, F.I.2
  • 6
    • 62249187747 scopus 로고    scopus 로고
    • A Rough Set approach to decision rules generation. Inst. Comput. Sci
    • Pawlak Z, Skowron A. A Rough Set approach to decision rules generation. Inst. Comput. Sci. Research Report 1993; 23.
    • Research Report 1993 , vol.23
    • Pawlak, Z.1    Skowron, A.2
  • 8
    • 62249209872 scopus 로고    scopus 로고
    • New feature selection methods for qualification of the patients for cardiac pacemaker implantation
    • Ilczuk G, Mlynarski R, Kargul W, Wakulicz-Deja A. New feature selection methods for qualification of the patients for cardiac pacemaker implantation. Computers in Cardiology 2007;34:423-426
    • (2007) Computers in Cardiology , vol.34 , pp. 423-426
    • Ilczuk, G.1    Mlynarski, R.2    Kargul, W.3    Wakulicz-Deja, A.4
  • 12
    • 85099325734 scopus 로고
    • Irrelevant features and the subset selection problem
    • John GH, Kohavi R, Pfleger K. Irrelevant features and the subset selection problem. In: ICML. 1994:121-129
    • (1994) ICML , pp. 121-129
    • John, G.H.1    Kohavi, R.2    Pfleger, K.3
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.