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.
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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.
United States : Splunk helps Recursion combine biological science with machine learning
Proprietary technology from Fujitsu Laboratories that accurately analyzes time-series data using a data analysis method called topological data analysis.
Fujitsu Deep Learning Technology Successfully Estimates Degree of Internal Damage to Bridge Infrastructure
Time-series data consists of hundreds or even thousands of measurements taken at recurring time intervals.
Taking a strategic approach to the data deluge
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.
Executives ... FYI
Specific applied mathematics topics covered include intergro-differential equations, the use of the Fourier transformation on time-series data and calculus of variations.
Applied Mathematics for Science and Engineering
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.
TOKUMX V1.5 DELIVERS TIME-SERIES DATA MANAGEMENT
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.
Data clustering; algorithms and applications
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.
Customer experience, trends, and staff planning
Upgrades include data visualization tools for accessing and storing time-series data, and alarm management and notification capabilities.
-Digi enhances iDigi Device Cloud
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.
From Grants to Loans and Fees: The Demand for Post-Compulsory Education in England and Wales from 1955 to 2008. CEE DP 127
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.
Estimating the global public health implications of electricity and coal consumption
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.
Detection of trends of internet traffic using sequential patterns/Interneto duomenu srauto tendenciju nustatymas naudojant tipines nuosekliasias sekas

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