| Autor: |
Fearon, David, Mayernik, Matt, Mayoral, Keith, Nair, Sheela, Parker, Andrew, Pepe, Alberto, Romero, Erick, Sharma, Abhishek, Wallis, Jillian, Yao, Yuan, Guy, Richard, Taggart, Mike, Borgman, Christine, Estrin, Deborah, Golubchik, Leana, Govindan, Ramesh, Hansen, Mark |
| Jazyk: |
angličtina |
| Rok vydání: |
2009 |
| Předmět: |
|
| Zdroj: |
Fearon, David; Mayernik, Matt; Mayoral, Keith; Nair, Sheela; Parker, Andrew; Pepe, Alberto; et al.(2009). Overview of CENS Statistics and Data Practices Research. Center for Embedded Network Sensing. UCLA: Center for Embedded Network Sensing. Retrieved from: http://www.escholarship.org/uc/item/3nf3h1bn |
| Popis: |
Data, statistical models and inferential procedures permeate CENS deployments, from the four founding scientific application areas to the more recent urban sensing campaigns. This cross-center research breaks down into three classes of research: 1) General statistical models for embedded sensing, with specific applications to data quality and continuous sampling, 2) Significant CENS-designed and supported databases and repositories, and 3) Studies into the data lifecycle for embedded sensing systems. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
