公开(公告)号：US06321217B1

公开(公告)日：2001-11-20

申请号：US09301595

申请日：1999-04-29

申请人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

发明人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

IPC分类号： G06F1700

CPC分类号： G06N5/025 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A data analyzing method for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values. The rule generation module further calculates a criterion for evaluating strength of correlation between data items in each of the candidate rules, determines one or plural candidate rules having highest calculated criterion from the candidate rules, and outputs to the user via the user interface the one or plural candidate rules.

摘要翻译： 一种用于基于数据库中的数据项生成规则的数据分析方法，其中所述规则表示所述数据项的关系特征。 本发明包括用户界面和规则生成模块。 规则生成模块响应于来自用户经由用户界面的输入，从存储在数据库中的数据项中选择用于条件条件的数据项和规则的结论子句，当选择的数据 项目具有数值，将数值作为符号值，并创建多个候选规则，每个表示具有一组或多组项目名称和符号值的规则形式的选定数据项之间的相关性。 规则生成模块进一步计算用于评估每个候选规则中的数据项之间的相关强度的标准，从候选规则确定具有最高计算标准的一个或多个候选规则，并经由用户界面向用户输出一个或 复数候选人规则。

公开(公告)号：US5761389A

公开(公告)日：1998-06-02

申请号：US470217

申请日：1995-06-06

申请人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

发明人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

IPC分类号： G06F9/44 ,  G06F17/30 ,  G06F19/00 ,  G06N5/02 ,  G06N5/04 ,  G06Q40/00 ,  G06Q40/02 ,  G06Q50/00 ,  G06Q50/04 ,  G06F17/00

CPC分类号： G06N5/025 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A data analyzing method and system for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values. The rule generation module further calculates a criterion for evaluating strength of correlation between data items in each of the candidate rules, determines one or plural candidate rules having highest calculated criterion from the candidate rules, and outputs to the user via the user interface the one or plural candidate rules.

摘要翻译： 一种用于基于数据库中的数据项生成规则的数据分析方法和系统，其中所述规则表示所述数据项的关系特征。 本发明包括用户界面和规则生成模块。 规则生成模块响应于来自用户经由用户界面的输入，从存储在数据库中的数据项中选择用于条件条件的数据项和规则的结论子句，当选择的数据 项目具有数值，将数值作为符号值，并创建多个候选规则，每个表示具有一组或多组项目名称和符号值的规则形式的选定数据项之间的相关性。 规则生成模块进一步计算用于评估每个候选规则中的数据项之间的相关强度的标准，从候选规则确定具有最高计算标准的一个或多个候选规则，并经由用户界面向用户输出一个或 复数候选人规则。

公开(公告)号：US5940815A

公开(公告)日：1999-08-17

申请号：US993150

申请日：1997-12-18

申请人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

发明人： Akira Maeda ,  Hitoshi Ashida ,  Yoji Taniguchi ,  Yukiyasu Ito ,  Yori Takahashi

IPC分类号： G06F9/44 ,  G06F17/30 ,  G06F19/00 ,  G06N5/02 ,  G06N5/04 ,  G06Q40/00 ,  G06Q40/02 ,  G06Q50/00 ,  G06Q50/04 ,  G06F15/18

CPC分类号： G06N5/025 ,  Y10S707/99945 ,  Y10S707/99948

摘要： A data analyzing method and system for generating a rule based on data items in a data base, wherein the rule expresses relational features of the data items. The invention includes a user interface and a rule generation module. The rule generation module, in response to an input from the user via the user interface, selects data items for use in a conditional clause and a conclusion clause of a rule from the data items stored in the data base, converts, when the selected data items have numerical values, the numerical values into symbolic values and creates plural candidate rules each expressing a correlation between selected data items in a rule form having one or plural sets of item names and symbolic values. The rule generation module further calculates a criterion for evaluating strength of correlation between data items in each of the candidate rules, determines one or plural candidate rules having highest calculated criterion from the candidate rules, and outputs to the user via the user interface the one or plural candidate rules.

摘要翻译： 一种用于基于数据库中的数据项生成规则的数据分析方法和系统，其中所述规则表示所述数据项的关系特征。 本发明包括用户界面和规则生成模块。 规则生成模块响应于来自用户经由用户界面的输入，从存储在数据库中的数据项中选择用于条件条件的数据项和规则的结论子句，当选择的数据 项目具有数值，将数值作为符号值，并创建多个候选规则，每个表示具有一组或多组项目名称和符号值的规则形式的选定数据项之间的相关性。 规则生成模块进一步计算用于评估每个候选规则中的数据项之间的相关强度的标准，从候选规则确定具有最高计算标准的一个或多个候选规则，并经由用户界面向用户输出一个或 复数候选人规则。

公开(公告)号：US5802509A

公开(公告)日：1998-09-01

申请号：US893422

申请日：1997-07-11

申请人： Akira Maeda ,  Hitoshi Ashida ,  Toshihide Ichimori ,  Chiaki Hirai ,  Yori Takahashi

发明人： Akira Maeda ,  Hitoshi Ashida ,  Toshihide Ichimori ,  Chiaki Hirai ,  Yori Takahashi

IPC分类号： G06N5/04 ,  G06F15/18

CPC分类号： G06N5/048

摘要： A rule generation apparatus includes a label presenter in which when producing from training data including a set of specific values related to input and output variables rules representing input/output relationships between the input and output variables, numeric data of the training data is converted into categorical data expressed by symbols to generate an instance table, an RI device for extracting rules from the instance table, and a rule converter for converting the extracted rules into fuzzy rules. When the training data is divided to be distributively stored in a plurality of server processors, label assignment is conducted by each server processor such that a client processor later combines instance tables with each other to achieve rule induction and conversion.

摘要翻译： 规则生成装置包括标签呈现器，其中当从包括与输入和输出变量之间的输入/输出关系的输入和输出变量规则相关的一组特定值的训练数据产生时，训练数据的数值数据被转换成分类 由符号表示的用于生成实例表的数据，用于从实例表中提取规则的RI设备，以及用于将提取的规则转换为模糊规则的规则转换器。 当将训练数据分割为分散存储在多个服务器处理器中时，每个服务器处理器执行标签分配，使得客户端处理器稍后将实例表相互组合以实现规则归纳和转换。

公开(公告)号：US5890150A

公开(公告)日：1999-03-30

申请号：US12207

申请日：1998-01-23

申请人： Kazutomo Ushijima ,  Shinji Fujiwara ,  Kazuo Masai ,  Yori Takahashi ,  Itaru Nishizawa

发明人： Kazutomo Ushijima ,  Shinji Fujiwara ,  Kazuo Masai ,  Yori Takahashi ,  Itaru Nishizawa

IPC分类号： G06F17/30

CPC分类号： G06F17/30536 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： A query issue processing method, a query conversion processing method, and a data control processing method are provided for enhancing the efficiency of random sampling processing for use in a database processing system. In query issue processing 2, a query including random sampling processing is issued. In query conversion processing 8, application sequences of random sampling processing and another query processing are exchanged by considering a sampling unit of the random sampling processing. Further, in record control processing 4, random access to a secondary storage device is reduced, thereby enhancing random sampling processing efficiency. Unlike the conventional query conversion processing not considering the sampling unit, the issuance of the query including random sampling processing and performing query conversion by considering the sampling unit allow random sampling to be applied also to a query including aggregation processing, thereby enhancing the efficiency of queries in a wider range. Reduction in the random access to the secondary storage device further enhances that efficiency.

摘要翻译： 提供了一种查询问题处理方法，查询转换处理方法和数据控制处理方法，用于提高在数据库处理系统中使用的随机抽样处理的效率。 在查询问题处理2中，发出包括随机抽样处理的查询。 在查询转换处理8中，通过考虑随机抽样处理的抽样单位来交换随机抽样处理和另一查询处理的应用程序。 此外，在记录控制处理4中，减少对二次存储装置的随机访问，从而提高随机抽样处理效率。 与不考虑采样单元的常规查询转换处理不同，通过考虑采样单元来执行随机抽样处理和执行查询转换的查询的发布允许随机抽样也适用于包括聚合处理的查询，从而提高查询的效率 在更广泛的范围。 减少对二次存储设备的随机访问进一步提高了该效率。