- Simplified operations that allow users to focus on working with
time-series data and eliminate the headaches of managing a database.
Time-series data obtained from sensors does not include anything other than every-changing numerical data.
Much of today's big data is
time-series data, so having specific functions for time is crucial.
Time-series data is complex, explains Greg Olsen, senior vice president, products.
[11] Philippe esling and Carlos agon, "
Time-Series Data Mining," ACM Computing Surveys, Vol.
Having published a book of aggregated
time-series data on the demography, economy, infrastructure, and society of the four US and six Mexican states on the border between the countries, Reich here adds a legal dimension to this quantitative overview.
The historian product handles
time-series data, as well as alarm and event data.
It is commonly used to model
time-series data on the attempt to explain and predict macroeconomic variables such as GDP, investment, consumption, spending, exports, imports, employment and unemployment.
Manolopoulos, "Feature-based classification of
time-series data," in Information Processing and Technology, M.
Generally, there are two types of gene expression data used to predict the structure of GRNs, which are steady-state data and
time-series data. The steady-state data measures the steady-state levels in different samples, while
time-series data measures the expression levels at several successive time points.
Time-series data consists of hundreds or even thousands of measurements taken at recurring time intervals.