Two kinds of abstraction that are fundamentally important in database design and usage are defined. Aggregation is an abstraction which turns a relationship between objects into an aggregate object. Generalization is an abstraction which turns a class of objects into a generic object. It is ...
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Aggregation Aggregation is a form of abstraction between a supertype and subtype entity that is significantly different from the generalization abstraction. Generalization is often described in terms of an “is-a” relationship between the subtype and the supertype—for example, an Employee is an Indiv...
there is no condition that the composed object must exist. The existence of the composed object is entirely optional. In both aggregation and composition
In response, we introduce FedCACS, a classifier aggregation with cosine similarity in the FL method to bridge the gap between the conventional FL and PFL. On the one hand, FedCACS adopts cosine similarity and a new PFL training strategy, which enhances the personalization ability of the local...
To build this model, we used the concepts of the object-oriented approach: generalization/specialization, aggregation, and inheritance. This approach is born... G Halin,N Mouaddib - 《Proceedings of Spie the International Society for Optical Engineering》 被引量: 22发表: 1992年 Generalization of...
sigo -q x,y -s z -a meanAggregation -i cluster < original.json > anonymized.json{"id":1,"x":7,"y":6.67,"z":"a","cluster":2} {"id":2,"x":3,"y":7,"z":"a","cluster":1} {"id":3,"x":3,"y":7,"z":"c","cluster":1} {"id":4,"x":3,"y":7,"z":"b...
Alzheimer’s disease (AD) is a progressive neurodegenerative disease characterized by in its early stages the widespread neural deposition of amyloid-β (Aβ) plaques, followed by tau aggregation into neurofibrillary tangles in the regions such as entorhinal cortex which is part of Medial Temporal Lo...
End-to-end drug entity recognition and adverse effect relation extraction via principal neighbourhood aggregation network However, the injective problem generated by a single aggregator and the weak generalization of the summation aggregator cause the graph neural network lack the ability to extract suffici...
Each data point is assigned a membership degree in each cluster, based on their similarity with the corresponding cluster representatives. FCM and its variants try to shift the representatives towards the actual centers of the regions (clusters) with a high aggregation of data points by minimizing ...