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Development of a modular Knowledge-Discovery Framework based on Machine Learning : for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes / Massimiliano Botticelli.
- Format:
- Book
- Author/Creator:
- Botticelli, Massimiliano, author.
- Series:
- Reihe Informationsmanagement im Engineering Karlsruhe
- Language:
- English
- Subjects (All):
- Machine learning.
- Knowledge management.
- Data mining.
- Interdisciplinary research.
- Physical Description:
- 1 online resource
- Place of Publication:
- Karlsruhe : KIT Scientific Publishing, 2023.
- Summary:
- In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations, discovering and visualizing connections and correlations in complex phenomena. The extracted knowledge is then validated with domain expertise, revealing potential and limitations of this method.
- Notes:
- Includes bibliographical references and index.
- Part of the metadata in this record was created with the help of AI Metadata Assistant
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