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- Title
Actionable Pattern-Driven Analytics and Prediction.
- Authors
Lin, Jerry Chun-Wei; Chen, Chun-Hao
- Abstract
The fourth paper [[4]] builds an effective system, called the personality-driven course decision assistant, to help students determine the courses they should select by mining and filtering learners' personality patterns. In addition to traditional methods for mining interesting patterns, several machine learning and optimization methods have been proposed in artificial intelligence to find interesting patterns and retrieve that information in a reasonable time, or in a big data environment. Pattern-driven analytics and mining has received a lot of attention in the last two decades, because information discovered in data can be used to support decision and strategy making.
- Subjects
STREAMING video &; television; PRODUCTION scheduling; ARTIFICIAL intelligence; ELECTRIC power consumption; APPLIED sciences; FORECASTING
- Publication
Applied Sciences (2076-3417), 2021, Vol 11, Issue 16, p7529
- ISSN
2076-3417
- Publication type
Editorial
- DOI
10.3390/app11167529