Name
Abstract | ||
|---|---|---|
Implication of association rules is compared with material implication and conditional in standard conditional models for conditional logic. Then, association rules are shown to be translated into probability-based graded conditionals. Further co-occurrence as the basis for confidence of association rules is examined and then evidence-based confidence is newly introduced. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/CMPSAC.2002.1045168 | COMPSAC |
Keywords | Field | DocType |
case-based reasoning,data mining,formal logic,knowledge based systems,Dempster-Shafer theory,association rules,conditional logic,data mining,evidence-based confidence,evidence-theory | Autoepistemic logic,Computer science,Proof calculus,Description logic,Real-time computing,Artificial intelligence,Non-monotonic logic,Material implication,Discriminative model,Mathematical economics,Knowledge-based systems,Association rule learning,Machine learning | Conference |
ISSN | ISBN | Citations |
0730-3157 | 0-7695-1727-7 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tetsuya Murai | 1 | 186 | 42.10 |
| Michinori Nakata | 2 | 292 | 37.49 |
| Yoshiharu Sato | 3 | 13 | 4.06 |