Name
Title | ||
|---|---|---|
Mining Frequent and Rare Itemsets With Weighted Supports Using Additive Neural Itemset Embedding |
Abstract | ||
|---|---|---|
Over the past two decades, itemset mining techniques have become an integral part of pattern mining in large databases. We present a novel system for mining frequent and rare itemsets simultaneously with supports weighted by cardinality in transactional datasets. Based on our neural item embedding with additive compositionality, the original mining problems are approximately reduced to polynomial-... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCNN52387.2021.9534070 | 2021 International Joint Conference on Neural Networks (IJCNN) |
Keywords | DocType | ISSN |
Additives,Itemsets,Databases,Scalability,Semantics,Neural networks,Linguistics | Conference | 2161-4393 |
ISBN | Citations | PageRank |
978-1-6654-3900-8 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ji Yi | 1 | 30 | 9.26 |
| Yukio Ohsawa | 2 | 972 | 157.33 |