Actionable Pattern-Driven Analytics and Prediction
Source abstract
Abstract
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 [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Data Stream Mining Techniques · Neural Networks and Applications · Time Series Analysis and Forecasting
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063 Bergen, Norway
Department of Information and Finance Management, National Taipei University of Technology, Taipei 10608, Taiwan
References (11)
Show source-provided references
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7. Yasir, M., Durrani, M.Y., Afzal, S., Maqsood, M., Aadil, F., Mehmood, I., and Rho, S. (2019). An Intelligent Event-Sentiment-Based Daily Foreign Exchange Rate Forecasting System. Appl. Sci., 9.10.3390/app9152980 ↗
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9. Wang, C.-S., and Chang, J.-Y. (2019). MISFP-Growth: Hadoop-Based Frequent Pattern Mining with Multiple Item Support. Appl. Sci., 9.10.3390/app9102075 ↗
10. Lin, C.-C., Li, W.-C., Chen, J.-C., Chung, W.-Y., Chung, S.-H., and Lin, K.W. (2019). A Distributed Algorithm for Fast Mining Frequent Patterns in Limited and Varying Network Bandwidth Environments. Appl. Sci., 9.10.3390/app9091859 ↗
11. Huang, K.-W., Girsang, A.S., Wu, Z.-X., and Chuang, Y.-W. (2019). A Hybrid Crow Search Algorithm for Solving Permutation Flow Shop Scheduling Problems. Appl. Sci., 9.10.3390/app9071353 ↗