So the companies that operate call centres are adopting new software to monitor and improve performance.One trick, which can shave seconds off each call, is to take into account "context data"—such as the caller's location, the local weather, the time of day and records of their recent transactions when routing a call.
In recent years, there has been a growing interest in the adoption of ontologies and ontological reasoning to automatically recognize complex context data such as human activities.
When other layers of context data (such as infrastructure specific settings) are available they will be made available as a separate layer in the FFS stack.
In this context, sensitive data, such as the fine grained energy consumption of each consumer, should be handled safely, since they can reveal a lot of information about consumers, e.g., excerpts from the day that there are no individuals in the household, arrival and departure times, or rest periods, which reveal their behavior patterns.
Some of these methods rely on context-dependent data, such as experimentally determined gene expression, TF binding, or chromatin structure [ 12], and therefore produce networks specific to a given context.
The hERG blocking liability of olanzapine was confirmed to be theoretically low also in the context of pharmacokinetic data such as myocardial distribution [ 42].
We sought to extract relevant data on the direction and size of moderating effects in secondary analysis (ie, whether men show larger, similar or smaller effects than women), and assess these effects in the context of relevant design data, such as sample size, and the quality of the secondary analysis.
Cases such as these, however, may be recognizable because the results may be highly unexpected in the context of other sources of data such as morphology or geography.
Also, association P-values are rarely presented in the context of other quality control data, such as Hardy Weinberg statistics, genotyping efficiency, minor allele frequency, quality scores and other relevant data that can aid the interpretation of association test statistics.
JAMIOLAS2 used context-aware technology to get data such as temperature and light from different environments in order to recommend "the right place for the right person to learn the right" Japanese mimetic words and onomatopoeias.
Some of the proposals generated in relation to the research context offer alternative paradigms for handling genetic data, such as the stewardship model and the creation of trustworthy institutions.
