In this paper, we present an approach to model and retrieve nuanced information (i.e. uncertain, fuzzy and incomplete information).
Management of uncertainty and vagueness in databases: the firms point of view. Authors: N. Mouaddib. N. Mouaddib. View Profile. , P. Subtil. P. Subtil. View ...
Bibliographic details on Management of Uncertainty and Vagueness in Databases: The Firms Point of View.
We then describe several applications that challenge present database systems by requiring more powerful methods for dealing with uncertainty, and we point to ...
Management of Uncertainty and Vagueness in Databases: The Firms Point of View. 437-458. Electronic Edition (link) BibTeX · Chie-Bein Chen, Chiu-Chi Wei: An ...
We discuss different techniques for managing uncertain data such as join processing, query selection, and indexing of uncertain data.
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Jun 4, 2019 · This article reviews previous work in big data analytics and presents a discussion of open challenges and future directions for recognizing and mitigating ...
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The key distinction is between problems oriented towards information—complexity and uncertainty—and those oriented towards knowledge—ambiguity and equivocality.
Such huge volumes of data can introduce scalability and uncertainty problems (e.g., a database tool may not be able to accommodate infinitely large datasets).
Jun 7, 2005 · Vagueness for a long time has been studied by philosophers, logicians and linguists. Recently researchers interested in AI contributed ...