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Information incompleteness, inconsistency, and improccessability are problems that collaborative design groups are facing.
Integrated approaches have been mainly proposed to overcome the shortcomings (information incompleteness and uncertainty, lack of expressiveness, inflexibility, lack of scalability, etc).
The simulation results show that the utility of the grid increases approximately 40% over that of the existing ones under the scenario of information incompleteness.
We indicated and summarized the problems faced by current big data studies with regard to data collection, processing and analysis: inauthentic data collection, information incompleteness and noise of big data, unrepresentativeness, consistency and reliability, and ethical issues.
Key limitations of this research relate to information incompleteness and uncertainty.
Strang and Linnhoff-Popien [ 13] evaluated these context modeling approaches based on six criteria, namely distributed composition, partial validation, richness and quality of information, incompleteness and ambiguity, level of formality and applicability to existing environments.
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Visible at a glance, the update of the datasets has shifted their TSPs from one superfamily to another, in a way that suggests that the division of the information processing networks into two groups was an effect of data incompleteness.
On the other hand, information-theoretic metrics appear to be more sensitive to data incompleteness.
THE most daunting challenges in making sense of social media are data incompleteness and noise: not knowing whether you have all the information, and how to sort out what's relevant.
Data incompleteness, nevertheless, is inherently unavoidable.
While there are limitations of cancer registry data, including incompleteness of tumour stage information and a lack of comorbidity and recurrence information, it is unlikely that they could have biased this large population sample in relation to RT delay.
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