Name
Abstract | ||
|---|---|---|
Fuzzy association rule mining is a popular method to discover hidden patterns and associations in quantitative data. With fuzzy logic, fuzzy association rule mining is easier for explainable human linguistics in real-world applications. Finding a better performance of fuzzy association rules and building a more reliable model are two main challenges. Therefore, this paper aims to propose multi-obj... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/WIIAT50758.2020.00091 | 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) |
Keywords | DocType | ISBN |
Measurement,Fuzzy logic,Buildings,Optimization methods,Linguistics,Linear programming,Data mining | Conference | 978-1-6654-1924-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||