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SYSTEM FOR EXTRACTING KNOWLEDGE OF TYPICALITY AND EXCEPTIONALITY FROM A DATABASE OF CASE RECORDS

机译:从案例记录数据库中提取典型性和例外性知识的系统

摘要

A knowledge tree building system iteratively partitions a database(28a-28n) of case records into a tree of conceptually meaningful clusters(74).Each cluster (74) is automatically assigned a unique conceptual meaning inaccordance with its unique pattern of typicality and exceptionality within theknowledge tree (28); no prior domain-dependent knowledge is required. Thesystem fully utilizes all available quantitative and qualitative case recordda-ta. Knowledge trees built by the system are particularly well suited forartifi-cial intelligence applications such as pattern classification and nonmonoton-ic reasoning.
机译:知识树构建系统迭代地对数据库进行分区(28a-28n)案件记录成概念上有意义的群集树(74)。每个集群(74)会自动分配一个唯一的概念含义,根据其独特的典型性和特殊性知识树(28);无需事先依赖领域的知识。的系统充分利用所有可用的定量和定性病例记录达ta。该系统构建的知识树特别适合于人工社交情报应用,例如模式分类和非单调ic推理。

著录项

  • 公开/公告号CA2137368C

    专利类型

  • 公开/公告日2001-12-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号CA19932137368

  • 发明设计人 KORNACKER KARL;

    申请日1993-05-07

  • 分类号G06F15/18;

  • 国家 CA

  • 入库时间 2022-08-22 00:41:19

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