| 000 | 00968 a2200277 4500 | ||
|---|---|---|---|
| 005 | 20250518094757.0 | ||
| 264 | 0 | _c20200701 | |
| 008 | 202007s 0 0 eng d | ||
| 022 | _a1932-6203 | ||
| 024 | 7 |
_a10.1371/journal.pone.0228175 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aYunxian, Chi | |
| 245 | 0 | 0 |
_aMeasuring multi-spatiotemporal scale tourist destination popularity based on text granular computing. _h[electronic resource] |
| 260 |
_bPloS one _c2020 |
||
| 300 |
_ae0228175 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 | _aData Mining |
| 650 | 0 | 4 | _aModels, Theoretical |
| 650 | 0 | 4 | _aSpatio-Temporal Analysis |
| 650 | 0 | 4 | _aTime Factors |
| 700 | 1 | _aRenjie, Li | |
| 700 | 1 | _aShuliang, Zhao | |
| 700 | 1 | _aFenghua, Guo | |
| 773 | 0 |
_tPloS one _gvol. 15 _gno. 4 _gp. e0228175 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1371/journal.pone.0228175 _zAvailable from publisher's website |
| 999 |
_c30839044 _d30839044 |
||