HIGHLIGHTS
- who: Ding Han and colleagues from the Computer School, Beijing Information Science and Technology University, Beijing, China have published the Article: Dynamic Weights Based Risk Rule Generation Algorithm for Incremental Data of Customs Declarations, in the Journal: Information 2023, 141 of /2023/
- what: The authors propose a risk-attribute combination expansion method and an improved Can-Tree incremental mining algorithm (dynamic-weight Can-Tree) based on the sequential compressed storage of the dynamic weights of data items, which can highlight the contribution of different attributes to risk and improve the mining efficiency of association rules . . .
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