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Sets of Invariant Measures and Cesaro Stability
Sergey Kryzhevich, 2017, izvirni znanstveni članek

Opis: We take a space X of dynamical systems that could be: homeomorphisms or continuous maps of a compact metric space K or diffeomorphisms of a smooth manifold or actions of an amenable group. We demonstrate that a typical dynamical system of X is a continuity point for the set of probability invariant measures considered as a function of a map, let Y be the set of all such continuity points. As a corollary we prove that for typical dynamical systems average values of continuous functions calculated along trajectories do not drastically change if the system is perturbed.
Najdeno v: ključnih besedah
Ključne besede: ergodic theory, invariant measures, shadowing, stability, tolerance stability, topological dynamics
Objavljeno: 02.10.2017; Ogledov: 2199; Prenosov: 0
.pdf Polno besedilo (529,51 KB)

Disintegration of invariant measures for hyperbolic skew products
Oliver Butterley, Ian Melbourne, 2017, izvirni znanstveni članek

Najdeno v: ključnih besedah
Ključne besede: invariant measures, hyperbolic, skew products
Objavljeno: 26.10.2018; Ogledov: 1701; Prenosov: 0
.pdf Polno besedilo (234,94 KB)

Measuring data quality across open government datasets
Avinash Prasad, Saibal K. Pal, Rajan Gupta, Sushmita Yadav, 2019, objavljeni znanstveni prispevek na konferenci

Opis: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work.
Najdeno v: ključnih besedah
Povzetek najdenega: ...rows were assessed for various data quality measures. The various parameters studied for the data...
Ključne besede: data quality assessment, open government datasets, e-governance, data quality measures
Objavljeno: 05.04.2021; Ogledov: 622; Prenosov: 0
.pdf Polno besedilo (10,22 MB)
Gradivo ima več datotek! Več...

Pseudopartitives, measures and agreement
Greta Mazzaggio, 2019, prispevek na konferenci brez natisa

Najdeno v: ključnih besedah
Ključne besede: Pseudopartives, measures, agreement
Objavljeno: 23.09.2021; Ogledov: 259; Prenosov: 0
.pdf Polno besedilo (206,32 KB)

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