Results 261 to 270 of about 3,753,934 (302)

On approximation measures for functional dependencies

Information Systems, 2004
We examine the issue of how to measure the degree to which a functional dependency (FD) is approximate. The primary motivation lies in the fact that approximate FDs represent potentially interesting patterns existent in a table. Their discovery is a valuable data mining problem.
Chris Giannella, Edward L. Robertson
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The RCI as a Measure of Monotonic Dependence

2014
In this paper a statistical interpretation of a recent measure, called “Rank-based Concordance Index” (RCI), in terms of monotonic dependence relationship between a non-negative dependent variable and a quantitative independent one is provided. Due to its rank-based construction, the measure presents properties and features that make it suitable also ...
E. Raffinetti, P.A. Ferrari
openaire   +3 more sources

Child factor in measurement dependability

American Journal of Human Biology, 2001
AbstractA primary consideration in longitudinal growth studies is the identification of growth from error components. While previous research has considered matters of measurement accuracy and reproducibility in detail, few reports have investigated the errors of measurement due to aspects of the physiology and cooperation of the child.
M, Lampl, L, Birch, M F, Picciano, M L, Johnson, E A, Frongillo   +4 more
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Measurement of Analog Sequential Dependencies

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1964
A statistic sensitive to sequential dependencies existing between responses was proposed. Two studies were undertaken to determine the validity and practicality of this measure. In the first study, results included: (1) the distribution of this measure (λ) is sufficiently normal to permit parametric analyses; (2) λ sensitively reflects both individual
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Layer Dependence as a Measure of Local Dependence

SSRN Electronic Journal, 2015
A new measure of local dependence called "layer dependence" is proposed and analysed. Layer dependence measures the dependence between two random variables at different percentiles in their joint distribution. Layer dependence satisfies coherence properties similar to Spearman's correlation, such as lying between -1 and 1, with -1, 0 and 1 ...
Weihao Choo, Piet De Jong
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Measurable dependence of conditional measures on a parameter

Doklady Mathematics, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Dependency Analyser Configurable by Measures

2002
In this paper we present a dependency analyser able to compute syntax recognition and analysis according to dependency grammars. The analyser is able to deal with nonprojective constructions, it has means to express the level of word-order freedom and its limitations.
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On measures of association as measures of positive dependence

Statistics & Probability Letters, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Dependency clustering across measurement scales

Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, 2012
How to automatically spot the major trends in large amounts of heterogeneous data? Clustering can help. However, most existing techniques suffer from one or more of the following drawbacks: 1) Many techniques support only one particular data type, most commonly numerical attributes.
openaire   +3 more sources

Kernel Measures of Conditional Dependence.

2008
We propose a new measure of conditional dependence of random variables, based on normalized cross-covariance operators on reproducing kernel Hilbert spaces. Unlike previous kernel dependence measures, the proposed criterion does not depend on the choice of kernel in the limit of infinite data, for a wide class of kernels.
Fukumizu, K., Gretton, A., Sun, X., Schölkopf, B.   +3 more
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