Abstract
Machine learning (ML) algorithms have been widely applied to data analytics and prediction. This paper extends our previous work, which proposed how to automatically convert data from the traditional SQL database to the new NoSQL database, to support the entity-relationship (ER) model. Based on our experimental results over two different cloud platforms, the NoSQL database can always provide better performance than the SQL database while executing ML algorithms.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781538663011 |
| DOIs | |
| State | Published - 27 Aug 2018 |
| Event | 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 - Taichung, Taiwan Duration: 19 May 2018 → 21 May 2018 |
Publication series
| Name | 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 |
|---|
Conference
| Conference | 5th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018 |
|---|---|
| Country/Territory | Taiwan |
| City | Taichung |
| Period | 19/05/18 → 21/05/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
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