Name
Title | ||
|---|---|---|
MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm |
Abstract | ||
|---|---|---|
•A novel maximal prevalent co-location pattern mining framework is presented.•The time and space costs are reduced efficiently by maximal cliques and hash tables.•Enumerating maximal cliques is accelerated by bit string operations.•The performance of the proposed method is proved by comparative experiments. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.114830 | Expert Systems with Applications |
Keywords | DocType | Volume |
Spatial data mining,Maximal co-location pattern,Maximal clique,Hash table | Journal | 175 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vanha Tran | 1 | 0 | 2.37 |
| Lizhen Wang | 2 | 153 | 26.16 |
| Hongmei Chen | 3 | 34 | 5.17 |
| Qing Xiao | 4 | 7 | 3.52 |