A Summary of F-Transform Techniques in Data Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F21%3AA2402KH2" target="_blank" >RIV/61988987:17610/21:A2402KH2 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2079-9292/10/15/1771" target="_blank" >https://www.mdpi.com/2079-9292/10/15/1771</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/electronics10151771" target="_blank" >10.3390/electronics10151771</a>

Result language

angličtina

Original language name

A Summary of F-Transform Techniques in Data Analysis

Original language description

Fuzzy transform is a technique applied to approximate a function of one or more variables applied by researchers in various image and data analysis. In this work we present a summary of a fuzzy transform method proposed in recent years in different data mining disciplines, such as the detection of relationships between features and the extraction of association rules, time series analysis, data classification. After having given the definition of the concept of Fuzzy Transform in one or more dimensions in which the constraint of sufficient data density with respect to fuzzy partitions is also explored, the data analysis approaches recently proposed in the literature based on the use of the Fuzzy Transform are analyzed. In particular, the strategies adopted in these approaches for managing the constraint of sufficient data density and the performance results obtained, compared with those measured by adopting other methods in the literature, are explored. The last section is dedicated to final considerations and future scenarios for using the Fuzzy Transform for the analysis of massive and high-dimensional data

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Electronics

ISSN

2079-9292

e-ISSN

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Volume of the periodical

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Issue of the periodical within the volume

15

Country of publishing house

CH - SWITZERLAND

Number of pages

20

Pages from-to

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UT code for WoS article

000681855800001

EID of the result in the Scopus database

2-s2.0-85111063111