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A statistically-based ontology matching tool
Distributed and Parallel Databases, 2017Ontologies have become a popular means of knowledge sharing and reuse. This has motivated development of large independent ontologies within the same or different domains with some overlapping information among them. In order to match such large ontologies, automatic matchers become an inevitable solution.
Peter Juma Ochieng, Swaib Kyanda
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Statistical Learning in Official Statistics: the case of Statistical Matching
Statistical Journal of the IAOS: Journal of the International Association for Official Statistics, 2019Data integration is becoming a crucial task in National Statistical Institutes in order to exploit the information provided by already existing data sources. Here the focus is on statistical matching methods; they are designed to integrate data stemming out from traditional sample surveys referred to the same target population. In particular, this work
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An Evaluation of Statistical Matching
Journal of Business & Economic Statistics, 1984The validity of findings based on statistically matched data sets depends on the accuracy of underlying assumptions about relationships between variables that are unique to each input file. Simulations of statistical matching procedures on samples from populations with known characteristics provide the basis for an evaluation of the usefulness of ...
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Using Statistics To Evaluate A History Match
Proceedings of Abu Dhabi International Petroleum Exhibition and Conference, 2002Abstract Three methods are proposed for quickly evaluating the history match of a numerical simulation to actual reservoir performance. All of the methods rely on computing a set of deviation values, each of which is defined to be a calculated simulator result minus the corresponding surveillance measurement value. For any
David Uldrich, Saad Matar, Hugh Miller
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An investigation of statistical matching
Journal of Applied Statistics, 1988This Paper examines the file-merging technique of statistical matching. Details are given of both its practical application and its numerical accuracy. In particular, it is shown that the ability of statistical matching to recreate correlations between variables existing only in different files is dependent on some respective assumptions which are ...
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1996
Sometimes it is reported that the average lawyer earns a lot of money; at the same time, the median income of lawyers is reported to be more modest. One year the average team in the National Football League made a sizable profit while the median team barely broke even. People often confuse the mean and the median of a distribution.
Richard L. Scheaffer +3 more
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Sometimes it is reported that the average lawyer earns a lot of money; at the same time, the median income of lawyers is reported to be more modest. One year the average team in the National Football League made a sizable profit while the median team barely broke even. People often confuse the mean and the median of a distribution.
Richard L. Scheaffer +3 more
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Statistical Discrimination in Stable Matchings
Proceedings of the 23rd ACM Conference on Economics and Computation, 2022Rémi Castera +2 more
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Ontology matching evaluation: a statistical perspective.
2016Information and Communication ...
Mohammadi, Majid (author) +2 more
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2019
In this paper, we survey some recent developments on statistical properties of matchings of very large and infinite graphs. We discuss extremal graph theoretic results like Schrijver’s theorem on the number of perfect matchings of regular bipartite graphs and its variants from the point of view of graph limit theory.
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In this paper, we survey some recent developments on statistical properties of matchings of very large and infinite graphs. We discuss extremal graph theoretic results like Schrijver’s theorem on the number of perfect matchings of regular bipartite graphs and its variants from the point of view of graph limit theory.
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Optimizing matching time interval and matching radius in on-demand ride-sourcing markets
Transportation Research Part B: Methodological, 2020Hai Yang, Xiaoran Qin, Jieping Ye
exaly