data processing

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Related to Data preprocessing: data mining

da·ta pro·cess·ing

(dā'tă prō'ses-ing),
Conversion of crude information into usable or storable form; statistical analysis of data by a computer program.

data processing

the techniques and practices involved in the manipulation of information by a computer.
References in periodicals archive ?
RapidMiner provides data mining and machine learning procedures including: data loading and transformation (Extract, transform, load (ETL)), data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.
As the only comprehensive EIM software solution that guarantees to administer any incentive compensation plan without the need for expensive and IT intensive off-line data preprocessing or application customization, CATS([R])is the value leader among EIM solutions.
In Web Usage Mining the data preprocessing consumes more time and is considered as a complex process in terms of calculations.
Different steps involved in data mining like data preprocessing, understanding of data formats and structure, modeling the data, choice of algorithm and assessing the results demand some level of understanding about the data format.
Teradata ADS Generator can significantly reduce the data preprocessing time by at least 50 percent.
The base version of KNIME already incorporates more than 100 components for general data preprocessing, cleansing and data mining, as well as various interactive views.
Mercury RACE Series(TM) systems are used in both the aerial pod gathering the data and in the ground stations providing high-performance I/O and STANAG 7023 data preprocessing.
The Harris Software Digital Map reads standard National Imagery and Mapping Agency (NIMA) database formats directly, thus eliminating the time-consuming task of data preprocessing.
This guarantee covers all steps of the standard implementation process, from data preprocessing and preparation, software installation and configuration, through testing and training.
In complex environments where data preprocessing is best handled by custom-developed programming, Aclue will manage the execution of the preprocessing steps and retrieve data from the result.
Designed for maximum ease-of-use, NOL Studio guides users step-by-step through the process of data preprocessing, model configuration, training, validation, and deployment.