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Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.

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Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.

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Francis Clauser has written:

'Reduction of flight performance data'

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Data abstraction is the reduction of a body of data to a simplified representation of the whole. Data abstraction is usually the first step in database design in order to create a simplified framework that can be added to in order to complete the database.

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Richard D. Peacock has written:

'SPEED2, a computer program for the reduction of data from automatic data acquisition systems' -- subject(s): Computer programs, Data reduction, SPEED2

'Fire tests of Amtrak passenger rail vehicle interiors' -- subject(s): Cars, Fires and fire prevention, Railroads

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Bruce A. Albrecht has written:

'Radiation data reduction procedures for Sabreliner C-130 and DC-6 aircraft during the Garp Atlantic Tropical Experiment'

'An analysis of the GATE aircraft pyrgeometer instrumentation'

'Pyrgeometer data reduction and calibration procedures'

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