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Scalable Framework ...
Scalable Framework for Distributed Case-based Reasoning for Big data analytics
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- Barua, Shaibal (författare)
- Mälardalens högskola,Inbyggda system
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- Begum, Shahina, 1977- (författare)
- Mälardalens högskola,Inbyggda system
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- Ahmed, Mobyen Uddin, 1976- (författare)
- Mälardalens högskola,Inbyggda system
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(creator_code:org_t)
- 2018-02-17
- 2018
- Engelska.
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Ingår i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Volume 225. - Cham : Springer International Publishing. - 9783319762128 ; , s. 111-114
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper proposes a scalable framework for distributed case-based reasoning methodology to provide actionable knowledge based on historical big amount of data. The framework addresses several challenges, i.e., promptly analyse big data, cross-domain, use-case specific data processing, multi-source case representation, dynamic case-management, uncertainty, check the plausibility of solution after adaptation etc. through its five modules architectures. The architecture allows the functionalities with distributed data analytics and intended to provide solutions under different conditions, i.e. data size, velocity, variety etc.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- Distributed analytics
- case-based reasoning
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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