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Planning stock portfolios by means of weighted frequent itemsets

Article ID Journal Published Year Pages File Type
4943307 Expert Systems with Applications 2017 17 Pages PDF
Abstract
The experiments performed on real stock datasets acquired under different market conditions demonstrate the effectiveness of the proposed approach compared to real stock funds.
Keywords
Frequent itemset mining
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
Planning stock portfolios by means of weighted frequent itemsets
Authors
Elena Baralis, Luca Cagliero, Paolo Garza,
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Journal
Expert Systems with Applications
Journal: Expert Systems with Applications
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Frequent itemset mining
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