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An Agent and Pattern-Oriented Approach to Data Visualization
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Author(s): Chung-Yeung Pang (Seveco AG, Switzerland)and Severin K. Y. Pang (Cognitive Solutions and Innovation AG, Switzerland)
Copyright: 2023
Pages: 23
Source title:
Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch074
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Abstract
In order to analyze and visualize big data with a large variety of data, we need an agile and flexible software system. Following the traditional standard programming paradigm, such a system cannot easily be built. This article introduces a programming approach that combines generic programming, pattern-oriented programming, and agent-oriented programming. Reflection techniques that allow components and patterns to change their behavior depending on the data context are also presented. The main motivation of aspect-oriented programming, the separation of concerns, is also discussed. This approach provides guidelines for building flexible, extensible, and maintainable software systems. However, a paradigm shift in programming is required, which is also presented in this article.
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