data processing

(redirected from Data preprocessing)
Also found in: Dictionary, Medical, Financial, Encyclopedia.
Related to Data preprocessing: data mining
Graphic Thesaurus  🔍
Display ON
Animation ON
Legend
Synonym
Antonym
Related
  • noun

Words related to data processing

References in periodicals archive ?
The data preprocessing is the initial stage in the architecture it removes the redundant data from the given data set and normalize the data elements in the preprocessing step.
Using Matlab to achieve the above algorithm programming, that is, after the Gauss smoothing filter data preprocessing, the results are shown in figure 2.
Data preprocessing on Web Server Log Files for Mining User Access Patterns.
2011), The process of data preprocessing for Web Usage Data Mining through a complete example, Annals of the Ovidius University, Economic Sciences Series Volume XI, Issue 1/2011.
The data inputs were left to rudimentary desktop databases and often required a lot of data preprocessing to load, or worse, having to type inputs into screens over and over again.
4, data preprocessing optimizations that enhance streamtrace performance, and a loader for KIVA-3V data (from Los Alamos National Lab), which is used in the analysis of chemically reacting flows with sprays, and exported in General Mesh Viewer format.
Leung has put together a microarray software comparison featuring 13 primary types of software, including programs for data preprocessing, analysis, and annotation.
The data preprocessing for each AVHRR scene involves radiometric calibration, atmospheric correction, geometric correction and cloud removal.
INFOA can also be used to inform the implementor that operations with both the matrix and its transpose will be later required, thus enabling further efficiency in data preprocessing by allowing both structures to be computed at the same time.
In this paper, the data preprocessing technology, such as classification and other data mining techniques are used to analyze the common technical skills of basketball.
In section 2 of the paper we discuss zone delineation with respect to clustering techniques, in section 3 data preprocessing methods (normalization, discretization) are explained.