Select Language

AI社区

公开数据集

国际象棋、体育和邮票用户数据集

国际象棋、体育和邮票用户数据集

3K
465 浏览
0 喜欢
2 次下载
0 条讨论
Social Classification

Creators: Barbara and Frederick Hayes-RothDonor: David W. Aha (aha '@' ics.uci.edu) (714) 856-8779Data Set Infor......

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

    Creators:

    Barbara and Frederick Hayes-Roth

    Donor:

    David W. Aha (aha '@' ics.uci.edu) (714) 856-8779


    Data Set Information:

    This database contains 5 numeric-valued attributes.  only a subset of 3 are used during testing (the latter 3).  Furthermore, only 2 of the 3 concepts are "used" during testing (i.e., those with the prototypes 000 and 111).  I've mapped all values to their zero-indexing equivalents.

    Some instances could be placed in either category 0 or 1.  I've followed the authors' suggestion, placing them in each category with equal probability.

    I've replaced the actual values of the attributes (i.e., hobby has values chess, sports and stamps) with numeric values.  I think this is how the authors' did this when testing the categorization models described in the paper.  I find this unfair.  While the subjects were able to bring background knowledge to bear on the attribute values and their relationships, the algorithms were provided with no such knowledge.  I'm uncertain whether the 2 distractor attributes (name and hobby) are presented to the authors' algorithms during testing.  However, it is clear that only the age, educational status, and marital status attributes are given during the human subjects' transfer tests.


    Attribute Information:

    -- 1. name: distinct for each instance and represented numerically
         -- 2. hobby: nominal values ranging between 1 and 3
         -- 3. age: nominal values ranging between 1 and 4
         -- 4. educational level: nominal values ranging between 1 and 4
         -- 5. marital status: nominal values ranging between 1 and 4
         -- 6. class: nominal value between 1 and 3


    Relevant Papers:

    Hayes-Roth, B., & Hayes-Roth, F. (1977).  Concept learning and the recognition and classification of exemplars.  Journal of Verbal Learning and Verbal Behavior, 16, 321-338.
    [Web link]

    Anderson, J.R., & Kline, P.J. (1979).  A learning system and its psychological implications.  In Proceedings of the Sixth International Joint Conference on Artificial Intelligence (pp. 16-21).  Tokyo, Japan: Morgan Kaufmann.

    Aha, D.W. (1989). Incremental learning of independent, overlapping, and graded concept descriptions with an instance-based process framework.Manuscript submitted for publication.


    Papers That Cite This Data Set1:


    Yuan Jiang and Zhi-Hua Zhou. Editing Training Data for kNN Classifiers with Neural Network Ensemble. ISNN (1). 2004.  [View Context].

    Bob Ricks and Dan Ventura. Training a Quantum Neural Network. NIPS. 2003.  [View Context].

    Gabor Melli. A Lazy Model-based Approach to On-Line Classification. University of British Columbia. 1989.  [View Context].

    Anthony D. Griffiths and Derek Bridge. A Yardstick for the evaluation of Case-based Classifiers. Department of Computer Science, University of York.  [View Context].

    Jerome H. Friedman and Ron Kohavi and Youngkeol Yun. To appear in AAAI-96 Lazy Decision Trees. Statistics Department and Stanford Linear Accelerator Center Stanford University.  [View Context].


    Citation Request:

    Please refer to the Machine Learning Repository's citation policy

    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:10 去赚积分?
    • 465浏览
    • 2下载
    • 0点赞
    • 收藏
    • 分享