time-series data

time-series data

information collected over a number of time periods with respect to a given variable such as income. Compare CROSS-SECTIONAL DATA.
References in periodicals archive ?
- 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.
Recursions legacy management action plan failed to keep pace with the large volumes of time-series data that was produced from a growing number of computer-controlled instruments capturing over 700,000 TIFF files per week.
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.