Classification Algorithms Framework (CAF) to Enable Intelligent Systems Using JetBrains MPS Domain-Specific Languages Environment
- Submitting institution
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Bournemouth University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 323916
- Type
- D - Journal article
- DOI
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10.1109/aCCESS.2020.2966630
- Title of journal
- IEEE Access
- Article number
- 0
- First page
- 14832
- Volume
- 8
- Issue
- 0
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
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- Research group(s)
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- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research presents a Framework of Classification Algorithms (CAF) at system-level that enables quick experimentation with several different algorithms in domain context. A new programming language was developed using MPS JetBrains domain-specific languages technology. It was in response to industrial requirements from British Telecom's data-science team (Dr Nauck, co-author) to bridge the gap between research on data-science algorithms and their applicability within application contexts. It has led to another IEEE Access (Impact 4) Journal publication (https://ieeexplore.ieee.org/document/9218921) within the same year. This work is anticipated to be applied in several areas within BT and form the backbone for several projects/funding applications.
- Author contribution statement
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- Non-English
- No
- English abstract
- -