Mining Association Rules between Sets of Items in Large Databases
GPTKB entity
Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:affiliation |
gptkb:IBM_Almaden_Research_Center
|
| gptkbp:author |
gptkb:Rakesh_Agrawal
gptkb:Arun_Swami gptkb:Tomasz_Imielinski |
| gptkbp:citation |
gptkb:Frequent_Pattern_Growth_(FP-Growth)_algorithm
over 20,000 |
| gptkbp:doi |
10.1145/170035.170072
|
| gptkbp:field |
data mining
association rule learning |
| gptkbp:focusesOn |
efficient discovery of association rules
|
| https://www.w3.org/2000/01/rdf-schema#label |
Mining Association Rules between Sets of Items in Large Databases
|
| gptkbp:impact |
foundational work in data mining
|
| gptkbp:influenced |
market basket analysis
|
| gptkbp:language |
English
|
| gptkbp:pages |
207-216
|
| gptkbp:proposedAlgorithm |
gptkb:Apriori_algorithm
|
| gptkbp:publicationYear |
1993
|
| gptkbp:publishedIn |
gptkb:SIGMOD_Conference
|
| gptkbp:url |
https://dl.acm.org/doi/10.1145/170035.170072
|
| gptkbp:bfsParent |
gptkb:Tomasz_Imieliński
|
| gptkbp:bfsLayer |
7
|