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Koh et al., 2006 - Google Patents

Finding non-coincidental sporadic rules using apriori-inverse

Koh et al., 2006

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Document ID
3568561953764257297
Author
Koh Y
Rountree N
O’Keefe R
Publication year
Publication venue
International Journal of Data Warehousing and Mining (IJDWM)

External Links

Snippet

Discovering association rules efficiently is an important data mining problem. We define sporadic rules as those with low support but high confidence; for example, a rare association of two symptoms indicating a rare disease. To find such rules using the well-known Apriori …
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    • G06—COMPUTING; CALCULATING; COUNTING
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