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原发肿瘤数据集

原发肿瘤数据集

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Life Classification

Data Set Information:This is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the......

数据结构 ? 3K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    This is one of three domains provided by the oncology Institutenthat has repeatedly appeared in the machine learning literature.

    (See also breast-cancer and lymphography.)


    Attribute Information:

    --- NOTE: All attribute values in the database have been entered as numeric values corresponding to their index in the list of attribute values for that attribute domain as given below.
      1. class: lung, head & neck, esophasus, thyroid, stomach, duoden & sm.int, colon, rectum, anus, salivary glands, pancreas, gallblader, liver, kidney, bladder, testis, prostate, ovary, corpus uteri, cervix uteri, vagina, breast
      2. age:


    Relevant Papers:

    Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A Knowledge-Elicitation Tool for Sophisticated Users.  In I.Bratko & N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.
    [Web link]

    Clark,P. & Niblett,T. (1987). Induction in Noisy Domains.  In I.Bratko & N.Lavrac (Eds.) Progress in Machine Learning, 11-30, Sigma Press.
    [Web link]

    Michalski,R., Mozetic,I. Hong,J., & Lavrac,N. (1986).  The Multi-Purpose Incremental Learning System AQ15 and its Testing Applications to Three Medical Domains.  In Proceedings of the Fifth National Conference on Artificial Intelligence, 1041-1045. Philadelphia, PA: Morgan Kaufmann.
    [Web link]


    Papers That Cite This Data Set1:


    Remco R. Bouckaert. Accuracy bounds for ensembles under 0 { 1 loss. Xtal Mountain Information Technology & Computer Science Department, University of Waikato. 2002.  [View Context].

    Xavier Llor and David E. Goldberg and Ivan Traus and Ester Bernad i Mansilla. Accuracy, Parsimony, and Generality in Evolutionary Learning Systems via Multiobjective Selection. IWLCS. 2002.  [View Context].

    Pedro Domingos. Control-Sensitive Feature Selection for Lazy Learners. Artif. Intell. Rev, 11. 1997.  [View Context].

    Igor Kononenko and Edvard Simec and Marko Robnik-Sikonja. Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF. Appl. Intell, 7. 1997.  [View Context].

    Kamal Ali and Michael J. Pazzani. Error Reduction through Learning Multiple Descriptions. Machine Learning, 24. 1996.  [View Context].

    Geoffrey I. Webb. OPUS: An Efficient Admissible Algorithm for Unordered Search. J. Artif. Intell. Res. (JAIR, 3. 1995.  [View Context].

    Alexander K. Seewald. Dissertation Towards Understanding Stacking Studies of a General Ensemble Learning Scheme ausgefuhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Naturwissenschaften.  [View Context].

    Geoffrey I Webb. Learning Decision Lists by Prepending Inferred Rules. School of Computing and Mathematics Deakin University.  [View Context].


    Donors:

    1. Igor Kononenko,
    University E.Kardelj
    Faculty for electrical engineering
    Trzaska 25
    61000 Ljubljana (tel.: (38)(+61) 265-161

    2. Bojan Cestnik
    Jozef Stefan Institute
    Jamova 39
    61000 Ljubljana
    Yugoslavia (tel.: (38)(+61) 214-399 ext.287)


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