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Can I read Online Association Rule Mining on EtoBox?
Online Association Rule Mining by Christian Hidber is a Computer Science article available to read on EtoBox.
What is Online Association Rule Mining about?
We present a novel algorithm to compute large itemsets online. The user is free to change the support threshold any time during the first scan of the transaction sequence. The algorithm maintains a superset of all large itemsets and for each itemset a shrinking, deterministic interval on its support. After at most 2 scans the algorithm terminates with the precise support for each large itemset. Typically our algorithm is by an order of magnitude more memory efficient than Apriori or DIC.
Who reads Online Association Rule Mining?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Christian Hidber
- Publisher
- ACM
- Published
- 1999
- Language
- EN
- Field
- Computer Science (Physical Sciences)