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In the past, many algorithms were respectively proposed to effectively mine frequent itemsets in uncertain databases.
On the other hand, many techniques are also developed for modeling and managing uncertain databases.
In this paper, we propose a novel and important query in the context of uncertain databases, namely probabilistic group subspace skyline (PGSS) query, which is useful in applications like sensor data analysis.
In this paper, a novel framework, named potential high-utility itemset mining (PHUIM) in uncertain databases, is proposed to efficiently discover not only the itemsets with high utilities but also the itemsets with high existence probabilities in an uncertain database based on the tuple uncertainty model.
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But mining HUIs in an uncertain database has not yet been proposed, although uncertainty is commonly seen in real-world applications.
This study extends the presently sparse and uncertain experimental database for high molecular weight alcohols oxidation in laminar flames, providing high accuracy and reliable experimental data of use for alcohols oxidation mechanism development and improvement.
Most previous research has been conducted in administrative databases of uncertain reliability and/or on specific sub-populations.
Along with qualitative entries, the SI and Witham databases also include uncertain fatality figures denoted by questions marks, tildes, or similar; for example "~100" and "45?".
In particular, we build a fuzzy ontology to model uncertain relationships between objects in databases for service matching, and present a novel analytic hierarchy process approach to calculate the semantic similarity between concepts.
The optimal stoichiometry between the number of matching nodes that can be used to create an accurate pretest probability versus the database size remains uncertain.
While the c.-93G>A is a common and benign variant, the c.-28A>G and c.-7C>T are described as Class 3 variants of uncertain pathogenicity in the InSiGHT database [Fokkema et al., 2011].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com