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 ?
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.
Proprietary technology from Fujitsu Laboratories that accurately analyzes time-series data using a data analysis method called topological data analysis.
Time-series data consists of hundreds or even thousands of measurements taken at recurring time intervals.
These instruments provide time-series data regarding product deformation, allowing a wide range of texture attributes to be calculated from force-time or force-displacement data.
Specific applied mathematics topics covered include intergro-differential equations, the use of the Fourier transformation on time-series data and calculus of variations.
5, database architects and developers can transparently break time-series data into separate physical partitions, which can be allocated to specific time spans and later ejected from the primary data store once a specific time period has elapsed.
The topics include a survey of partitional and hierarchical clustering algorithms, non-negative matrix factorizations for clustering, clustering categorical data, time-series data clustering, network clustering, uncertain data clustering algorithms, semi-supervised clustering, and educational and software resources for data clustering.
By developing customer experience time-series data, using this data to forecast expected performance, and applying this forecast to variance analyses and staff planning, you can greatly improve your customer's experience.
Upgrades include data visualization tools for accessing and storing time-series data, and alarm management and notification capabilities.
The purpose of this paper is to identify the impact of these changes on the demand for HE using time-series data for England and Wales over the period 1955 to 2008.
Using time-series data sets from 41 countries with varying development trajectories over a 40-year period, they developed an autoregressive model of life expectancy (LE) and infant mortality (IM) based on electricity consumption, coal consumption, and previous year's LE or IM.
For all that, kinds of classification methods mentioned above may not perform well in mining time sequence datasets [6] like time-series data that are widely used when analyzing communication network performance.