Abstract
- Association rule mining is a key issue in data mining.
- However, the classical models ignore the difference between the transactions, and the weighted association rule mining does not work on databases with only binary attributes.
- In this paper, we introduce a new measure w-support, which does not require pre-assigned weights.
- It takes the quality of transactions into consideration using link-based models.
- A fast mining algorithm is given, and a large amount of experimental results are presented.
- The weights are completely derived from the internal structure of the database based on the
- Assumption that good transactions consist of good items.
Mining Weighted Association Rules without Preassigned Weights -
minigweighted -
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