Results 21 to 30 of about 42,531 (299)
Improving symbolic data visualization for pattern recognition and knowledge discovery
This paper examines the visualization of symbolic data and considers the challenges rising from its complex structure. Symbolic data is usually aggregated from large data sets and used to hide entry specific details and to transform huge amounts of data (
Kadri Umbleja +2 more
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This research is motivated by many occurrences of symbolic violence in educational institutions, especially in Private Schools of Padang. Symbolic violence that is often found in schools in the form of speech or words that can cause mental damage to ...
Yenni Melia
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Principal component analysis of symbolic data
Hisao MIYANO, Sayaka ARAI
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Symbolic Violence Teachers Experience at Schools
The aim of this study is, first, to find out whether teachers are exposed to instances of invisible symbolic violence at school, especially in their relations with school principals, and second, if such violence exists,
Süleyman Yıldız +2 more
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Fuzzy-Symbolic Analysis for Classification of Symbolic Data [PDF]
A recent study on symbolic data analysis literature reveals that symbolic distance measures are playing a major role in solving the pattern recognition and analysis problems. After a careful study on the existing symbolic distance measures, we have identified that most of the existing symbolic distance measures either suffer from generalization or do ...
M. S. Dinesh +2 more
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A Novel Feature Representation and Clustering for Histogram-Valued Data
In an era where large-scale data are produced and collected rapidly, great interest is attributed to symbolic data analysis in order to explore connotative and significant information from massive data.
Qing Zhao, Huiwen Wang
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Bringing Children into the Sociology of Consumption: A Symbolic Consumption Perspective
This article explores children’s consumption practices from a sociology of consumption perspective. The aim is to discover whether South African children, in their consumption of clothing, engage in symbolic consumption and to identify the ways in which ...
Belinda Senooane, Johannes Wiid
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The research background of the paper covers the development of a country, that can be measured in various ways. Simple indicators, like GDP and also complex indicators such as HDI (human development index), can be used to measure country development ...
Pełka Marcin
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Data Analysis and Symbolic Regression Models for Predicting CO and NOx Emissions from Gas Turbines
Predictive emission monitoring systems (PEMS) are software solutions for the validation and supplementation of costly continuous emission monitoring systems for natural gas electrical generation turbines.
Olga Kochueva, Kirill Nikolskii
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Data Science and symbolic AI: Synergies, challenges and opportunities
Symbolic approaches to Artificial Intelligence (AI) represent things within a domain of knowledge through physical symbols, combine symbols into symbol expressions, and manipulate symbols and symbol expressions through inference processes.
Robert Hoehndorf +1 more
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