The phrase "aggregation of information" is correct and usable in written English.
It can be used when discussing the collection or gathering of data or knowledge from various sources.
Example: "The aggregation of information from multiple studies provides a clearer understanding of the issue at hand."
Alternatives: "collection of data" or "compilation of information".
Even in 2017 there's little aggregation of information on children's events, activities, and classes.
Kivatinos says that he believes that Google Health didn't bring much innovation to the space beyond aggregation of information.
This paper focuses on the problem of decentralized aggregation of information distributed across the nodes of a network.
Figure 6 Depiction of OAI-ORE aggregation of information resources associated with an exemplar RSC ChemSpider record.
Objective models lead to the aggregation of information derived from physics, economics or eco-environmental analysis into a performance indicator.
Therefore, aggregation of information becomes a crucial requirement to acquire such collective and summarized knowledge for a wide range of distributed applications.
Note that we do not propose to make the cloud processing provider work with encrypted data; the confidentiality control is achieved through the de-aggregation of information, and hiding the relationships between the processing providers.
All are trying to create cyber traveler networks of one kind or another, with aggregations of information and sites that might be of value to travelers in airports: weather, travel bookings, flight times, online banking links, news, sports, and shopping.
To design it, an aggregation operator of information, called ordered weighted geometric operator, is introduced, and two choice degrees, the quantifier-guided dominance degree and the quantifier-guided non-dominance degree, are defined for multiplicative preference relations.
More precisely, the reduction in exposure variance caused by aggregation (loss of information) magnifies the individual-level bias due to confounding by group and/or effect modification of the risk difference by group.
The novel approach of personalised medicine will be applied by following a path for the individual in the biobank and clinical data through the aggregation of the information in the risk assessment algorithms, leading back to the individualised risk assessment of that particular patient.
