data reduction

Among the many compression algorithm, RLE compression is lossless compression to the original integrity of the data reduction.

Proper orthogonal decomposition (POD) is an effective technique for data reduction and feature extraction of a random field.

So while the experiment is in progress, one of your team should do a rough data reduction and sketch out the behavior e. g.

The data preprocessing can define as the operations as followings: data cleaning, data integration, data conversion, data reduction.

In rough set theory, data reduction is a very important issue, it includes attributes and attribute values reduction.

This process is called data reduction.

This may include test design, data reduction, parameter tuning, results presentation and post release validation.

Rough set theory is an useful tool to process inaccurate data, reduction is an important concept in rough set.

Better allocation of the disk resources themselves will also help maximize data reduction.

methods of data cleaning , data integration and transformation , and data reduction are discussed.

The image data reduction part (04A) reduces the given image data at a predetermined reduction rate to generate a reduced image data.

From real data reduction the efficiency of the remedy was demonstrated.

Reverse engineering is outlined and the significance of data reduction is pointed out.

Then data reduction in rough set theory based on difference-identity relation is discussed. Further displays the essence of reduction.

The research of exact and effective data reduction algorithms based on Rough Set has greatly theoretical value and realistic meaning.

Data reduction The process of converting experimental data into useful , condended, information .

Rough set theory has the advantage of data reduction and rule extraction, and can initialize the structure of network.

Modeling and analysis indicate that the problem of railway GPS data reduction is a NP problem and it is hard to get the optimal solution.

The process of SANS measurement, and the raw data reduction, is relatively complicated.

Figure 2 illustrates this concept along with the method of data reduction.

Research of a method for three-dimensional measured data reduction with triangular meshes

Comparison and Analysis of Two Audit Data Reduction Methods for Intrusion Detection System

Generalized data reduction manipulation evaluation

Development and Implementation of a Data - Reduction Algorithm Based on CAN Simulation Platform

Development and implementation of a data-reduction algorithm based on CAN based simulation platform

Analysis and Research on a Data-Reduction Algorithm for Automotive Multiplexing

The Study of Event-based Vibration Signals'Data Reduction and Reconstruction Technology in Rotating Machinery

Image Credit & Copyright: Acquisition and data reduction - Andrey Oreshko (Elena Remote Observatory)

Application Ant Colony Algorithm in Attribute- oriented Data Reduction

Some Key Technologies on Data Reduction and Data Management in the Network Environment

Intelligent data acquisition and data reduction system

An adaptive data reduction algorithm for the display in active sonar

Methods of Point Cloud Data Reduction for Reverse Engineering

Point Cloud Data Reduction in Reverse Engineering

The data reduction of point cloud and analysis of reduction effect

The application of clustering in alert data reduction

A Fast Technique for Implementing Data Reduction

Scan Line Data Reduction for Reverse Engineering

Rough Set Theory and its Use in Data Reduction

A data reduction algorithm based on the rough set theory and its improvement

Global and local data reduction strategy of cubic spline

Data Reduction and Classification Based on Spatial Partitioning

Study on the Building Checks Price Based on Data Reduction

Data Reduction Based on the Equivalence Class Partition of Attribute Set

Prototype System Based on Rough Set and Lattice Machine Data Reduction

Data Reduction in Network Based on the Intrusion Detection System

A Data Reduction Algorithm Using Clustering Based on Rough Set Theory

Data Reduction Based on Support Vector Data Description

Study on data reduction and rules discovery based on convex Rough set

Study on Data Reduction Based on Granular Computing

Data reduction and rule generation based on Rough set

A New Method on Data Reduction

An Algorithm Based on the Rough Sets for Data Reduction

Method of Data Reduction Based on Boolean Matrix

Data Reduction Based on DSM