Poster Open Access

A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management

Kawa Nazemi; Dirk Burkhardt


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3473065</identifier>
  <creators>
    <creator>
      <creatorName>Kawa Nazemi</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2907-2740</nameIdentifier>
      <affiliation>Human-Computer Interaction &amp; Visual Analytics Group, Darmstadt University of Applied Sciences</affiliation>
    </creator>
    <creator>
      <creatorName>Dirk Burkhardt</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6507-7899</nameIdentifier>
      <affiliation>Human-Computer Interaction &amp; Visual Analytics Group, Darmstadt University of Applied Sciences</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>Visual Analytics</subject>
    <subject>Information Visualization</subject>
    <subject>Trend Analytics</subject>
    <subject>Analysis Approach</subject>
    <subject>User-Centered Design</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-10-04</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Poster</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3473065</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Text">10.1007/978-3-030-33723-0_23</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3473064</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h_da</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/h_da-vis</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/visual-trend-analytics</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Visual Analytics provides with a combination of automated techniques and interactive visualizations huge analysis possibilities in technology and innovation management. Thereby not only the use of machine learning data mining methods plays an important role. Due to the high interaction capabilities, it provides a more user-centered approach, where users are able to manipulate the entire analysis process and get the most valuable information. Existing Visual Analytics systems for Trend Analytics and technology and innovation management do not really make use of this unique feature and almost neglect the human in the analysis process. Outcomes from research in information search, information visualization and technology management can lead to more sophisticated Visual Analytics systems that involved the human in the entire analysis process. We propose in this paper a new interaction approach for Visual Analytics in technology and innovation management with a special focus on technological trend analytics.&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Nazemi K. and Burkhardt D. (2019) A Visual Analytics Approach for Analyzing Technological Trends in Technology and Innovation Management. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science, vol 11845. Springer, Cham.:Switzerland. DOI: 10.1007/978-3-030-33723-0_23"]}</description>
  </descriptions>
</resource>
293
58
views
downloads
All versions This version
Views 293293
Downloads 5858
Data volume 92.7 MB92.7 MB
Unique views 261261
Unique downloads 5252

Share

Cite as