Faculty of Computer Science and Engineering Researcher Provides New Insights int o Machine Learning (Automating Feature Extraction from Entity-Relation Models: E xperimental Evaluation of Machine Learning Methods for Relational Learning)

Robotics & Machine Learning Daily News2024，Issue(Apr.15) ：83-83.

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Faculty of Computer Science and Engineering Researcher Provides New Insights int o Machine Learning (Automating Feature Extraction from Entity-Relation Models: E xperimental Evaluation of Machine Learning Methods for Relational Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news originating from theFaculty of Computer Science a nd Engineering by NewsRx editors, the research stated, “With the exponentialgro wth of data, extracting actionable insights becomes resource-intensive. In many organizations,normalized relational databases store a significant portion of th is data, where tables are interconnectedthrough some relations.”

Key words

Faculty of Computer Science and Engineer ing/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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