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Application of AC Algorithm Based on RS in Stock Index Prediction
Author(s) -
Xiaoguang Wang,
Liu Fu-xian,
Liu Hui,
Fei Ma
Publication year - 2012
Publication title -
international journal of engineering and manufacturing
Language(s) - English
Resource type - Journals
eISSN - 2306-5982
pISSN - 2305-3631
DOI - 10.5815/ijem.2012.02.04
Subject(s) - similarity (geometry) , algorithm , data mining , computer science , index (typography) , selection (genetic algorithm) , rough set , dimension (graph theory) , pattern recognition (psychology) , artificial intelligence , mathematics , world wide web , pure mathematics , image (mathematics)
The AC Algorithm may easily get a lower pattern similarity when performing the AC under the situation of encountering multi-dimensional data, so this will affect the selection of similar patterns. Combining the Rough Set theory, the author makes the data dimension reduction processing. The experiment shows that the AC algorithm based on RS is practical and its performance efficiency and prediction accuracy are much higher than the AC algorithm.

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