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書目名稱Granular-Relational Data Mining影響因子(影響力)




書目名稱Granular-Relational Data Mining影響因子(影響力)學科排名




書目名稱Granular-Relational Data Mining網(wǎng)絡公開度




書目名稱Granular-Relational Data Mining網(wǎng)絡公開度學科排名




書目名稱Granular-Relational Data Mining被引頻次




書目名稱Granular-Relational Data Mining被引頻次學科排名




書目名稱Granular-Relational Data Mining年度引用




書目名稱Granular-Relational Data Mining年度引用學科排名




書目名稱Granular-Relational Data Mining讀者反饋




書目名稱Granular-Relational Data Mining讀者反饋學科排名

積極詞匯

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.

符合規(guī)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

符合規(guī)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.

變色龍

火光在搖曳

COWER