A Stock Trading Recommender System Based on Temporal Association Rule Mining
Recommender systems capable of discovering patterns in stock price movements and generating stock recommendations based on the patterns thus discovered can significantly supplement the decision-making process of a stock trader. Such recommender systems are of great significance to a layperson who wi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2015-04-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/2158244015579941 |