Name
Abstract | ||
|---|---|---|
With the growing demand of applicational support for various kinds of tourism applications, this study aims to apply big data on the tourism industry and build applications for tourism resources that support the distributed storage, parallel computing, application analysis, data information sharing and interaction that support the census data of tourism resources. Deeper data support for the project of constructing tourism census database is provided by the big data support platform. Advanced, efficient and scientific platform environment of storage, calculation and analysis of the resources is also provided for escorting the goal of developing the entire-region tourism and building Guizhou as a world-famous tourism destination. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software. The application of these resources has fostered impressive big data advancements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/GEOINFORMATICS.2018.8557190 | 2018 26TH INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2018) |
Keywords | Field | DocType |
tourism resources, cloud platform, tourism applications | Data science,Data mining,Data information,Software analytics,Computer science,Distributed data store,Tourism,Big data,Cloud computing | Conference |
ISSN | Citations | PageRank |
2161-024X | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chibin Wang | 1 | 0 | 0.34 |
| Jun Luo | 2 | 139 | 17.61 |
| Shaofu Lin | 3 | 0 | 5.75 |
| Jing Zhang | 4 | 373 | 101.39 |
| Zifu Wang | 5 | 0 | 0.68 |
| Anyu Luo | 6 | 0 | 0.34 |