Stock Movement Prediction and N-dimensional Inter-transaction Association Rules Association Rules for Prediction Sequential Pattern Discovery Cannot Help Either the Fundamental Diierence

@inproceedings{Han1998StockMP,
  title={Stock Movement Prediction and N-dimensional Inter-transaction Association Rules Association Rules for Prediction Sequential Pattern Discovery Cannot Help Either the Fundamental Diierence},
  author={Jiawei Han and Ling Feng},
  year={1998}
}
1 Inadequacy in association rule mining for stock movement prediction Among all the data mining problems, discovering association rules from large databases is probably the most signiicant contribution from the database community to the eld 1, 2, 5, 9, 10, 7]. The most often cited application of association rules is market basket analysis using transaction databases from supermarkets and departmental stores. We can discover rules like R 1 : 80% of customers who bought diaper also bought beer… CONTINUE READING
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