forked from D-Net/dnet-hadoop
93 lines
5.5 KiB
XML
93 lines
5.5 KiB
XML
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<?xml version="1.0" encoding="UTF-8"?>
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<oai:record xmlns:dr="http://www.driver-repository.eu/namespace/dr"
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xmlns:dri="http://www.driver-repository.eu/namespace/dri"
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xmlns:oaf="http://namespace.openaire.eu/oaf" xmlns:oai="http://www.openarchives.org/OAI/2.0/">
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<oai:header>
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<dri:recordIdentifier>12d8f77e-d66f-46f5-8d88-af7db23bc4c9</dri:recordIdentifier>
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<dri:dateOfCollection>2023-09-08T10:12:35.864+02:00</dri:dateOfCollection>
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<oaf:datasourceprefix>alessia_____</oaf:datasourceprefix>
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<oai:metadata>
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<datacite:resource
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xmlns:datacite="http://datacite.org/schema/kernel-4"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4/metadata.xsd">
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<datacite:identifier identifierType="URL">http://data.d4science.org/ctlg/ResourceCatalogue/visual_analytics_for_data_scientists</datacite:identifier>
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<datacite:alternateIdentifiers/>
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<datacite:creators>
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<datacite:creator>
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<datacite:creatorName>BRAGHIERI MARCO</datacite:creatorName>
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</datacite:creator>
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</datacite:creators>
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<datacite:titles>
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<datacite:title>Visual Analytics for Data Scientists</datacite:title>
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</datacite:titles>
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<datacite:publisher>SoBigData++</datacite:publisher>
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<datacite:publicationYear/>
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<datacite:dates>
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<datacite:date dateType="Issued"/>
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<datacite:resourceType resourceTypeGeneral="TrainingMaterial">TrainingMaterial</datacite:resourceType>
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<datacite:descriptions>
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<datacite:description descriptionType="Abstract">Participants to this module shall
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- Learn the principles and rules underlying the design of visual data
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representations and human-computer interactions
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- Understand, adapt and apply representative visual analytics methods and systems for diverse types
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of data and problems
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- Analyse and evaluate the structure and properties
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of data to select or devise appropriate methods for data exploration
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- Combine visualization, interactive techniques, and computational
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processing to develop practical data analysis for problem solving
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(This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London).
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The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it</datacite:description>
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</datacite:descriptions>
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<datacite:subjects>
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<datacite:subject>Visual analytics</datacite:subject>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>PDF</datacite:format>
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<datacite:format>ZIP</datacite:format>
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</datacite:resource>
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