1 This process is called data reduction.

2 The problems of data reduction, including relative reduction and absolute reduction are introduced and unified as the set operation on difference list that is come from the difference matrix.

3 A new adaptive data reduction algorithm is presented to display large amounts of data on the computer screen of active sonar system.

4 Data reduction is one of important research issue in rough set theory.

5 A device for automatic counting and data reduction is introduced. This device consists of a semiconductor detector, a charge sensitive amplifier, a pulse shaping circuit and a microcomputer.

6 In this thesis, data reduction and the reduction of attributes is discussed and studied.

7 NIDSs deal with the problem of data reduction before analyzing the events.

8 It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.

9 Independently perform data reduction and data analysis of test results, as required.

10 Biostatistics can be defined as the science of data reduction methods, variability and populations,[] in the field of medicine and biomedical science.

11 Data -reduction-based approximate data mining technique in which data reduction for massive data set was done in data pretreatment phase has been discussed.

12 To make the map data contain more information, the paper researched on EPS platform importing MGE data and focused on the data reduction after importing data based on EPS.

13 Methods of data cleaning, data integration and transformation, and data reduction are discussed.

14 Results show that parallel genetic algorithm is fit for data reduction problem with large scale and large data sample point.

15 The computation results show that parallel genetic algorithm is fit for data reduction problem with large scale and large data sample point.

16 Present an algorithm based on mesh processing to merge multi-sensor data. Use distance method and cube method to realize point data reduction.

17 The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.

18 Based on the antibody clonal selection theory, an immune clonal data reduction algorithm is proposed for instance selection problems of data reduction.