Name
Abstract | ||
|---|---|---|
Itemsets, which are treated as intermediate results in association mining, have attracted significant re- search due to the inherent complexity of their gen- eration. However, there is currently little literature focusing upon the interactions between itemsets, the nature of which may potentially contain valuable in- formation. This paper presents a novel tree-based approach to discovering itemset interactions, a task which cannot be undertaken by current association mining techniques. |
Year | Venue | Keywords |
|---|---|---|
2009 | Australasian Computer Science Conference | current association mining technique,significant research,inherent complexity,intermediate result,itemset interaction,novel tree-based approach,fp- tree.,relative support,valuable information,association mining,computing,data mining |
Field | DocType | Citations |
Data science,Data mining,Association mining,Engineering | Conference | 0 |
PageRank | References | Authors |
0.34 | 27 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Liang | 1 | 18 | 6.94 |
| John F. Roddick | 2 | 1908 | 331.20 |
| Aaron Ceglar | 3 | 106 | 8.42 |
| Anna Shillabeer | 4 | 5 | 2.10 |
| Denise De Vries | 5 | 53 | 8.14 |