Name
Abstract | ||
|---|---|---|
The standard definitions of confidence for association rules was proposed by Agrawal et al. based on the idea that co-occurrences of items in one transaction are evidence for association between the items. Since such definition of confidence is nothing but a conditional probability, even weights are a priori assigned to each transaction that contains the items in question at the same time. All of such transactions, however, do not necessarily give us such evidence because some co-occurrences might be contingent. Thus the D-S theory is introduced to discuss how each transaction is estimated as evidence. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-39644-4_36 | Lecture Notes in Artificial Intelligence |
Keywords | Field | DocType |
conditional probability,association rule,standard definition | Transaction processing,Data mining,Conditional probability,Nothing,Computer science,A priori and a posteriori,Association rule learning,Modal logic,Database transaction,Dempster–Shafer theory | Conference |
Volume | ISSN | Citations |
2843 | 0302-9743 | 2 |
PageRank | References | Authors |
0.45 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tetsuya Murai | 1 | 186 | 42.10 |
| Yasuo Kudo | 2 | 95 | 26.41 |
| Yoshiharu Sato | 3 | 13 | 4.06 |