Rule based systems for big data : a machine learning approach
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11124116
- Type
- A - Authored book
- DOI
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10.1007/978-3-319-23696-4
- Publisher
- Springer
- ISBN
- 9783319236957
- Open access status
- -
- Month of publication
- September
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- 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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2
- Research group(s)
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B - Computational Intelligence
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel approach to extracting knowledge from big data that provides interpretability, which cannot be found in traditional machine learning algorithms. Essential for developing explainable Artificial Intelligence (AI) in line with recent requirements for building public trust in AI. Had a significant impact on the academic community, with more than 22,000 downloads since 2016. The importance was also highlighted in a positive review by Computing Reviews.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -