https://wiki-circular-twain.s5labs.eu/index.php?action=history&feed=atom&title=17%3A_D2PortPortal
17: D2PortPortal - Revision history
2026-04-22T15:32:55Z
Revision history for this page on the wiki
MediaWiki 1.43.1
https://wiki-circular-twain.s5labs.eu/index.php?title=17:_D2PortPortal&diff=351&oldid=prev
Admin ugqr649i at 08:54, 31 March 2025
2025-03-31T08:54:21Z
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>• '''Metrics/KPIs''': False positive rate < 10% True negative < 1%</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>• '''Metrics/KPIs''': False positive rate < 10% True negative < 1%</div></td></tr>
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Admin ugqr649i
https://wiki-circular-twain.s5labs.eu/index.php?title=17:_D2PortPortal&diff=350&oldid=prev
Admin ugqr649i at 08:54, 31 March 2025
2025-03-31T08:54:09Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:54, 31 March 2025</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> • <del style="font-weight: bold; text-decoration: none;">**</del>Purpose/Short Description <del style="font-weight: bold; text-decoration: none;">**</del>: Portal for the exploration of anomalies in complex industry case</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">**</del>Applicable Data Spaces Building Block <del style="font-weight: bold; text-decoration: none;">**</del>: Data Value Creation</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Purpose/Short Description <ins style="font-weight: bold; text-decoration: none;">'''</ins>: Portal for the exploration of anomalies in complex industry case</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Reference, URL <del style="font-weight: bold; text-decoration: none;">**</del>: D2Port.rs</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Challenge addressed <del style="font-weight: bold; text-decoration: none;">**</del>: Detecting anomalies in multivariate and dynamic datasets</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Applicable Data Spaces Building Block <ins style="font-weight: bold; text-decoration: none;">'''</ins>: Data Value Creation</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Applicable Business area <del style="font-weight: bold; text-decoration: none;">**</del>: Any industry / circular economy</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Affected Stakeholders <del style="font-weight: bold; text-decoration: none;">**</del>: Industry data providers</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Reference, URL<ins style="font-weight: bold; text-decoration: none;">'''</ins>: D2Port.rs</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Key components <del style="font-weight: bold; text-decoration: none;">**</del>: Multivariate data analysis, Deep Learning</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">** </del>Metrics/KPIs <del style="font-weight: bold; text-decoration: none;">**</del>: False positive rate < 10% True negative < 1%</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Challenge addressed<ins style="font-weight: bold; text-decoration: none;">'''</ins>: Detecting anomalies in multivariate and dynamic datasets</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• <del style="font-weight: bold; text-decoration: none;">**</del>Completion Date <del style="font-weight: bold; text-decoration: none;">**</del>: Ongoing</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Applicable Business area <ins style="font-weight: bold; text-decoration: none;">'''</ins>: Any industry / circular economy</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Affected Stakeholders<ins style="font-weight: bold; text-decoration: none;">'''</ins>: Industry data providers</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Key components <ins style="font-weight: bold; text-decoration: none;">'''</ins>: Multivariate data analysis, Deep Learning</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">'''</ins>Metrics/KPIs<ins style="font-weight: bold; text-decoration: none;">'''</ins>: False positive rate < 10% True negative < 1%</div></td></tr>
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<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">• '''Completion Date'''</ins>: Ongoing</div></td></tr>
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<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Go back to the '''[[Solutions for circularity Data Space implementations]]'''</ins></div></td></tr>
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Admin ugqr649i
https://wiki-circular-twain.s5labs.eu/index.php?title=17:_D2PortPortal&diff=349&oldid=prev
Admin ugqr649i at 08:52, 31 March 2025
2025-03-31T08:52:17Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 08:52, 31 March 2025</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Purpose/Short Description*: Portal for the exploration of anomalies in complex industry case</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"> </ins>• <ins style="font-weight: bold; text-decoration: none;">*</ins>*Purpose/Short Description <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Portal for the exploration of anomalies in complex industry case</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Applicable Data Spaces Building Block*: Data Value Creation</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;"> *</ins>*Applicable Data Spaces Building Block <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Data Value Creation</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Reference, URL*: D2Port.rs</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">*</ins>* Reference, URL <ins style="font-weight: bold; text-decoration: none;">*</ins>*: D2Port.rs</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Challenge addressed*: Detecting anomalies in multivariate and dynamic datasets</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">*</ins>* Challenge addressed <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Detecting anomalies in multivariate and dynamic datasets</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Applicable Business area*: Any industry / circular economy</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;"> *</ins>* Applicable Business area <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Any industry / circular economy</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Affected Stakeholders*: Industry data providers</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;"> *</ins>* Affected Stakeholders <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Industry data providers</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Key components*: Multivariate data analysis, Deep Learning</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;"> *</ins>* Key components <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Multivariate data analysis, Deep Learning</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Metrics/KPIs*: False positive rate < 10% True negative < 1%</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;">*</ins>* Metrics/KPIs <ins style="font-weight: bold; text-decoration: none;">*</ins>*: False positive rate < 10% True negative < 1%</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>• *Completion Date*: Ongoing</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>• <ins style="font-weight: bold; text-decoration: none;"> *</ins>*Completion Date <ins style="font-weight: bold; text-decoration: none;">*</ins>*: Ongoing</div></td></tr>
</table>
Admin ugqr649i
https://wiki-circular-twain.s5labs.eu/index.php?title=17:_D2PortPortal&diff=348&oldid=prev
Admin ugqr649i: Created page with "• *Purpose/Short Description*: Portal for the exploration of anomalies in complex industry case • *Applicable Data Spaces Building Block*: Data Value Creation • *Referen..."
2025-03-31T08:51:24Z
<p>Created page with "• *Purpose/Short Description*: Portal for the exploration of anomalies in complex industry case • *Applicable Data Spaces Building Block*: Data Value Creation • *Referen..."</p>
<p><b>New page</b></p><div>• *Purpose/Short Description*: Portal for the exploration of anomalies in complex industry case<br />
• *Applicable Data Spaces Building Block*: Data Value Creation<br />
• *Reference, URL*: D2Port.rs<br />
• *Challenge addressed*: Detecting anomalies in multivariate and dynamic datasets<br />
• *Applicable Business area*: Any industry / circular economy<br />
• *Affected Stakeholders*: Industry data providers<br />
• *Key components*: Multivariate data analysis, Deep Learning<br />
• *Metrics/KPIs*: False positive rate < 10% True negative < 1%<br />
• *Completion Date*: Ongoing</div>
Admin ugqr649i