Enhancing indoor positioning based on partitioning cascade machine learning models
Publisher:
Year
: 2014DOI: 10.1109/EEEI.2014.7005771
Keyword(s): Availability,Data models,Distributed databases,File systems,Generators,Servers,Cloud Storage,Database Management Systems,Distributed Databases,NoSQL
Collections
:
-
Statistics
Enhancing indoor positioning based on partitioning cascade machine learning models
Show full item record
| contributor author | Premchaisawatt, S. , Ruangchaijatupon, N. | |
| date accessioned | 2020-03-12T19:55:20Z | |
| date available | 2020-03-12T19:55:20Z | |
| date issued | 2014 | |
| identifier other | 6839831.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/995242 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Enhancing indoor positioning based on partitioning cascade machine learning models | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8114743 | |
| subject keywords | Availability | |
| subject keywords | Data models | |
| subject keywords | Distributed databases | |
| subject keywords | File systems | |
| subject keywords | Generators | |
| subject keywords | Servers | |
| subject keywords | Cloud Storage | |
| subject keywords | Database Management Systems | |
| subject keywords | Distributed Databases | |
| subject keywords | NoSQL | |
| identifier doi | 10.1109/EEEI.2014.7005771 | |
| journal title | lectrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON | |
| filesize | 292606 | |
| citations | 0 |