Titlebook: ;

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书目名称Granular-Relational Data Mining影响因子(影响力)




书目名称Granular-Relational Data Mining影响因子(影响力)学科排名




书目名称Granular-Relational Data Mining网络公开度




书目名称Granular-Relational Data Mining网络公开度学科排名




书目名称Granular-Relational Data Mining被引频次




书目名称Granular-Relational Data Mining被引频次学科排名




书目名称Granular-Relational Data Mining年度引用




书目名称Granular-Relational Data Mining年度引用学科排名




书目名称Granular-Relational Data Mining读者反馈




书目名称Granular-Relational Data Mining读者反馈学科排名

积极词汇

connoisseur

formula

Rough-Granular Computingat is adapted to data stored in a relational databases. The chapter also defines a range of similarity measures for relational data. They are used in the construction of one of the tolerance rough set model components, i.e. the uncertainty function.

ALT

Relation-Based Granulesress richer knowledge about relational data. The chapter also shows that the generation of patterns can be accelerated thanks to using an alternative representation of relational data constructed on the basis of relation-based granules.

符合规定

Compound Approximation Spacesinformation systems and the tolerance rough set model extended to a relational case. The chapter also shows that in constrained compound approximations spaces it is possible to approximate not only a combination of concepts, each of which is defined in one database table, but also the relationships

符合规定

Conclusions of one of the frameworks depending on factors such as data structure and pattern representation. It also shows the contribution of settlement of relational data mining in the paradigm of granular computing.

变色龙

火光在摇曳

COWER