17: D2PortPortal: Difference between revisions

Latest revision as of 08:54, 31 March 2025

• Purpose/Short Description : Portal for the exploration of anomalies in complex industry case

• Applicable Data Spaces Building Block : Data Value Creation

• Reference, URL: D2Port.rs

• Challenge addressed: Detecting anomalies in multivariate and dynamic datasets

• Applicable Business area : Any industry / circular economy

• Affected Stakeholders: Industry data providers

• Key components : Multivariate data analysis, Deep Learning

• Metrics/KPIs: False positive rate < 10% True negative < 1%

• Completion Date: Ongoing

@@ Line 1: / Line 1: @@
-• *Purpose/Short Description*: Portal for the exploration of anomalies in complex industry case
-• *Applicable Data Spaces Building Block*: Data Value Creation
+• '''Purpose/Short Description ''': Portal for the exploration of anomalies in complex industry case
-• *Reference, URL*: D2Port.rs
-• *Challenge addressed*: Detecting anomalies in multivariate and dynamic datasets
+•  '''Applicable Data Spaces Building Block ''': Data Value Creation
-• *Applicable Business area*: Any industry / circular economy
-• *Affected Stakeholders*: Industry data providers
+• '''Reference, URL''': D2Port.rs
-• *Key components*: Multivariate data analysis, Deep Learning
-• *Metrics/KPIs*: False positive rate < 10% True negative < 1%
+• '''Challenge addressed''': Detecting anomalies in multivariate and dynamic datasets
-• *Completion Date*: Ongoing
+•  '''Applicable Business area ''': Any industry / circular economy
+•  '''Affected Stakeholders''': Industry data providers
+•  '''Key components ''': Multivariate data analysis, Deep Learning
+• '''Metrics/KPIs''': False positive rate < 10% True negative < 1%
+• '''Completion Date''': Ongoing
+Go back to the '''[[Solutions for circularity Data Space implementations]]'''