- Title
- Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification
- Creators
- M Tennant - University of ReadingFT Stahl - University of ReadingGiuseppe Di Fatta - University of ReadingJB Gomes - Agency for Science, Technology and Research
- Publication Details
- Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014, pp.51-65
- Editor(s)
- Bramer M, Petridis M
- ISBN
- 9783319120683
- EISBN
- 9783319120690
- Publisher
- Springer
- Identifiers
- 9783319120683
(UNIBZ)45704123
991007383370301241 - Scopus ID
- n.a.
- Academic Unit
- Faculty of Computer Science
- Language
- English
- Resource Type
- Conference proceeding
- Author Names String
- Tennant M, Stahl FT, Di Fatta G, Gomes JB
- Additional Description
- Editors/Supervisors: Bramer M, Petridis M
description: Record is part of a bulk validation set
Conference proceeding
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification
Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014, pp.51-65
2014
Handle:
https://hdl.handle.net/10863/53043
Details
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