Name
Abstract | ||
|---|---|---|
Group-by is a core database operation that is used extensively in data analysis and decision support systems. In many application scenarios, it appears useful to group values according to their compliance with a certain concept instead of founding the grouping on value equality. In this paper, we propose a new SQLf construct that supports fuzzy-partition-based group-by (FGB). We show that FGB can be used to generate fuzzy summaries as well as to mine fuzzy association rules (whose head or body are bound to a specific fuzzy value) in a practical and efficient way. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15576-5_9 | ADBIS |
Keywords | Field | DocType |
fuzzy-partition-based group-by,decision support system,data analysis,core database operation,certain concept,fuzzy group-by,specific fuzzy value,fuzzy summary,fuzzy association rule,fuzzy association rule mining,value equality,application scenario | Data mining,Neuro-fuzzy,Fuzzy classification,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy mathematics,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number | Conference |
Volume | ISSN | ISBN |
6295 | 0302-9743 | 3-642-15575-8 |
Citations | PageRank | References |
2 | 0.38 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrick Bosc | 1 | 601 | 75.23 |
| Olivier Pivert | 2 | 891 | 101.81 |
| Grégory Smits | 3 | 66 | 18.17 |