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http://hdl.handle.net/1942/43624
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DC Field | Value | Language |
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dc.contributor.author | Van den Elzen, Stef | - |
dc.contributor.author | JANS, Mieke | - |
dc.contributor.author | Tominski, Christian | - |
dc.contributor.author | van Zelst, Sebastiaan Johannes | - |
dc.contributor.author | Villa-Uriol, Mari-Cruz | - |
dc.date.accessioned | 2024-09-02T09:13:01Z | - |
dc.date.available | 2024-09-02T09:13:01Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-08-20T19:02:23Z | - |
dc.identifier.uri | http://hdl.handle.net/1942/43624 | - |
dc.description.abstract | This report documents the program and the outcomes of Dagstuhl Seminar 23271, “Human in the (process) mines”. The seminar dealt with topics that are at the intersection of process mining and visual analytics, and can potentially contribute to both areas. Process mining is a discipline blending data science concepts with business process management. It utilizes event data recorded by IT systems for a variety of tasks, including the automated discovery of graphical process models, conformance checking between data and models, enhancement of process models with additional analytic information, run-time monitoring of processes and operational support. Ultimately, the purpose of process mining is to make sense of event data and answer business and domain-related questions to support domain-specific goals. Visual Analytics, defined as “the science of analytical reasoning facilitated by interactive visual interfaces,” is a multidisciplinary approach, integrating aspects of data mining and knowledge discovery, information visualization, human-computer interaction, and cognitive science to support humans in making sense of various kinds of data. While these two research disciplines face similar challenges in different contexts, there have been few interactions and cross-fertilization efforts between the respective communities so far. This Dagstuhl Seminar is intended to bring together researchers from both communities and foster joint research efforts and collaborations to advance both fields and enrich future approaches to be developed. | - |
dc.language.iso | en | - |
dc.publisher | Leibniz-Zentrum für Informatik, Dagstuhl Publishing, Germany | - |
dc.rights | Except where otherwise noted, content of this report is licensed under a Creative Commons BY 4.0 International license | - |
dc.subject.other | human in the loop | - |
dc.subject.other | process mining | - |
dc.subject.other | visual analytics | - |
dc.subject.other | Applied computing → Business process management | - |
dc.subject.other | Human-centered computing → Visual analytics | - |
dc.title | Multi-Faceted Process Visual Analytics | - |
dc.type | Research Report | - |
local.bibliographicCitation.authors | Di Ciccio, Claudio | - |
local.bibliographicCitation.authors | Miksch, Silvia | - |
local.bibliographicCitation.authors | Soffer, Pnina | - |
local.bibliographicCitation.authors | Weber, Barbara | - |
local.bibliographicCitation.authors | Meroni, Giovanni | - |
local.bibliographicCitation.conferencedate | 2023, July 2-7 | - |
local.bibliographicCitation.conferencename | Dagstuhl Seminars | - |
local.bibliographicCitation.conferenceplace | Dagstuhl, Germany | - |
dc.identifier.issue | 7 | - |
dc.identifier.spage | 23271 | - |
dc.identifier.volume | 13 | - |
local.bibliographicCitation.jcat | R2 | - |
local.type.refereed | Non-Refereed | - |
local.type.specified | Research Report | - |
local.bibliographicCitation.artnr | 23271 - 4.4 | - |
dc.identifier.doi | 10.4230/dagrep.13.7.1 | - |
dc.identifier.url | https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.7.1 | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Human in the (Process) Mines (Dagstuhl Seminar 23271) | - |
local.uhasselt.international | yes | - |
local.contributor.datacreator | Di Ciccio, Claudio | - |
local.contributor.datacreator | Miksch, Silvia | - |
local.contributor.datacreator | Soffer, Pnina | - |
local.contributor.datacreator | Weber, Barbara | - |
local.contributor.datacreator | Meroni, Giovanni | - |
local.format.extent | 33 pages | - |
local.format.mimetype | application/pdf | - |
dc.rights.access | Creative Commons Attribution 4.0 International license | - |
item.fulltext | With Fulltext | - |
item.contributor | Van den Elzen, Stef | - |
item.contributor | JANS, Mieke | - |
item.contributor | Tominski, Christian | - |
item.contributor | van Zelst, Sebastiaan Johannes | - |
item.contributor | Villa-Uriol, Mari-Cruz | - |
item.contributor | Di Ciccio, Claudio | - |
item.contributor | Miksch, Silvia | - |
item.contributor | Soffer, Pnina | - |
item.contributor | Weber, Barbara | - |
item.contributor | Meroni, Giovanni | - |
item.accessRights | Open Access | - |
item.fullcitation | Van den Elzen, Stef; JANS, Mieke; Tominski, Christian; van Zelst, Sebastiaan Johannes & Villa-Uriol, Mari-CruzDi Ciccio, Claudio; Miksch, Silvia; Soffer, Pnina; Weber, Barbara & Meroni, Giovanni (2024) Multi-Faceted Process Visual Analytics. | - |
crisitem.journal.issn | 2192-5283 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Dagstuhl Report - Human in the process mines.pdf | Published version | 5.53 MB | Adobe PDF | View/Open |
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