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Classification Algorithms Framework (CAF) to enable Intelligent Systems using JetBrains MPS domain-specific languages environment.

Meacham, S., Pech, V. and Nauck, D., 2020. Classification Algorithms Framework (CAF) to enable Intelligent Systems using JetBrains MPS domain-specific languages environment. IEEE Access, 8.

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Official URL: https://ieeexplore.ieee.org/Xplore/home.jsp

DOI: 10.1109/ACCESS.2020.2966630

Abstract

This paper describes the design and development of a Classification Algorithms Framework (CAF) using the JetBrains MPS domain-specific languages (DSLs) development environment. It is increasingly recognized that the systems of the future will contain some form of adaptivity therefore making them intelligent systems as opposed to the static systems of the past. These intelligent systems can be extremely complex and difficult to maintain. Descriptions at higher-level of abstraction (system-level) have long been identified by industry and academia to reduce complexity. This research presents a Framework of Classification Algorithms at system-level that enables quick experimentation with several different algorithms from Naive Bayes to Logistic Regression. It has been developed as a tool to address the requirements of British Telecom’s (BT’s) data-science team. The tool has been presented at BT and JetBrains MPS and feedback has been collected and evaluated. Beyond the reduction in complexity through the system-level description, the most prominent advantage of this research is its potential applicability to many application contexts. It has been designed to be applicable for intelligent applications in several domains from business analytics, eLearning to eHealth, etc. Its wide applicability will contribute to enabling the larger vision of Artificial Intelligence (AI) adoption in context.

Item Type:Article
ISSN:2169-3536
Uncontrolled Keywords:Classification algorithms; domain-specific languages; framework; intelligent systems;
Group:Faculty of Science & Technology
ID Code:33284
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:24 Jan 2020 12:43
Last Modified:24 Jan 2020 13:30

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