Long time data series and data stewardship reference model
نویسندگان
چکیده
منابع مشابه
Missing data imputation in multivariable time series data
Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...
متن کاملpredicting streamflow using data-driven model and time series
accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. river flow simulations to determine the future river flows are important and practical. given the importance of flow in the coming years, in this research three stations: haji qooshan, ghare shoor and tamar in gorganrood cachment were simulated in 2002-2011. to s...
متن کاملTime Series Cube Data Model
The purpose of this document is to create a data model and its serialization for expressing generic time series data. Already existing IVOA data models are reused as much as possible. The model is also made as generic as possible to be open to new extensions but at the same time closed for modifications. This enables maintaining interoperability throughout different versions of the data model. ...
متن کاملChallenges in Long-Term Data Stewardship
The longevity of many data formats is uncertain at best, and more often is disturbingly brief. Maintenance of backwards compatibility of proprietary formats is frustratingly limited. The physical media that store digital data are ephemeral. Even if the data are properly preserved, the information that allows the data to be searched and which maintains the context of the data is often lost, thre...
متن کاملCombining time DEA scores using a dynamic panel data model
We define a combined DEA score to evaluate efficiency in agricultural research. The production model we propose considers efficiency measurements under variable returns to scale for each year in the period 2012–2017. We postulate a first-order autoregressive process in the presence of covariates, to explain efficiency. Powers of the autocorrelation coefficient estimated assuming a dynamic panel...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Big Earth Data
سال: 2020
ISSN: 2096-4471,2574-5417
DOI: 10.1080/20964471.2020.1800893