ResearchSpace

Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023

Show simple item record

dc.contributor.author Banissi, E
dc.contributor.author Siirtola, H
dc.contributor.author Ursyn, A
dc.contributor.author Pires, J
dc.contributor.author Datia, J
dc.contributor.author Nazemi, N
dc.contributor.author Kovalerchuk, B
dc.contributor.author Andonie, R
dc.contributor.author Nakayama, M
dc.contributor.author Mabakane, Mabule S
dc.date.accessioned 2024-04-05T07:57:58Z
dc.date.available 2024-04-05T07:57:58Z
dc.date.issued 2023-07
dc.identifier.citation Banissi, E., Siirtola, H., Ursyn, A., Pires, J., Datia, J., Nazemi, N., Kovalerchuk, B. & Andonie, R. et al. 2023. Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023. http://hdl.handle.net/10204/13655 . en_ZA
dc.identifier.isbn 979-8-3503-4161-4
dc.identifier.uri http://hdl.handle.net/10204/13655
dc.description.abstract This collection of papers on this year's information visualization forum, compiled for the 27th conference on Information Visualization incorporating the following: Artificial Intelligence analytics, machine-, deep-learning, and Learning Analytics - IV2023, advocates that a new conceptual framework will emerge from information-rich disciplines like the Humanities, Psychology, Sociology, Business of everyday activities as well as the science-rich disciplines. To facilitate this, IV2023 provides the opportunity to resonate with many international and collaborative research projects, lectures, and panel discussions from distinguished speakers that channel how this new framework conceptually and practically has been realized. This year's theme is enhanced further by AI's impact on all aspects of life and learning analysis of today's multifaceted and data-rich environment. Joining us in this search are some 70-plus researchers who reflect and share a chapter of their thoughts with fellow researchers. The papers collected, peer-reviewed by the international reviewing committee, reflect the vibrant state of information visualization, analytics, applications, and results of researchers, artists, and professionals from more than 25 countries. It has allowed us to address the scope of visualization from a much broader perspective as we step into the age of AI. Each contributor to this conference has added a new view and thoughts that challenge our beliefs and further encourage our adventure of innovation. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://www.proceedings.com/71229.html en_US
dc.relation.uri https://www.conftool.org/IV-cgiv-2023/ en_US
dc.source Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 en_US
dc.subject Information visualization en_US
dc.subject Artificial Intelligence analytics en_US
dc.subject Deep learning en_US
dc.subject Learning analytics en_US
dc.title Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 en_US
dc.type Conference Presentation en_US
dc.description.pages 21 en_US
dc.description.note This item is Editorial collective works. en_US
dc.description.cluster National Integrated Cyber InfraStructure en_US
dc.description.impactarea CHPC en_US
dc.identifier.apacitation Banissi, E., Siirtola, H., Ursyn, A., Pires, J., Datia, J., Nazemi, N., ... Mabakane, M. S. (2023). Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023. http://hdl.handle.net/10204/13655 en_ZA
dc.identifier.chicagocitation Banissi, E, H Siirtola, A Ursyn, J Pires, J Datia, N Nazemi, B Kovalerchuk, R Andonie, M Nakayama, and Mabule S Mabakane. "Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023." <i>Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023</i> (2023): http://hdl.handle.net/10204/13655 en_ZA
dc.identifier.vancouvercitation Banissi E, Siirtola H, Ursyn A, Pires J, Datia J, Nazemi N, et al, Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023; 2023. http://hdl.handle.net/10204/13655 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Banissi, E AU - Siirtola, H AU - Ursyn, A AU - Pires, J AU - Datia, J AU - Nazemi, N AU - Kovalerchuk, B AU - Andonie, R AU - Nakayama, M AU - Mabakane, Mabule S AB - This collection of papers on this year's information visualization forum, compiled for the 27th conference on Information Visualization incorporating the following: Artificial Intelligence analytics, machine-, deep-learning, and Learning Analytics - IV2023, advocates that a new conceptual framework will emerge from information-rich disciplines like the Humanities, Psychology, Sociology, Business of everyday activities as well as the science-rich disciplines. To facilitate this, IV2023 provides the opportunity to resonate with many international and collaborative research projects, lectures, and panel discussions from distinguished speakers that channel how this new framework conceptually and practically has been realized. This year's theme is enhanced further by AI's impact on all aspects of life and learning analysis of today's multifaceted and data-rich environment. Joining us in this search are some 70-plus researchers who reflect and share a chapter of their thoughts with fellow researchers. The papers collected, peer-reviewed by the international reviewing committee, reflect the vibrant state of information visualization, analytics, applications, and results of researchers, artists, and professionals from more than 25 countries. It has allowed us to address the scope of visualization from a much broader perspective as we step into the age of AI. Each contributor to this conference has added a new view and thoughts that challenge our beliefs and further encourage our adventure of innovation. DA - 2023-07 DB - ResearchSpace DP - CSIR J1 - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 KW - Information visualization KW - Artificial Intelligence analytics KW - Deep learning KW - Learning analytics LK - https://researchspace.csir.co.za PY - 2023 SM - 979-8-3503-4161-4 T1 - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 TI - Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023 UR - http://hdl.handle.net/10204/13655 ER - en_ZA
dc.identifier.worklist 27690 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record