2010Journal of Changchun University of Science and TechnologyRequires access

Research and Application on Spatial Data Preprocessing Techniques in Logistics Area

Changyu Cai

Open publisher page 0 citations

Abstract

A new logistics oriented work flow of data preprocessing is proposed,based on the problems existed in spatial data of logistics.Introduce the advantage of using data preprocessing in the logistics,analyze data preprocessing can improve disintegrate and inconsistency of logistics data,mainly describe the whole process of data preprocessing.At the end,point out the importing data quality will be improved after data preprocessing,then improve the efficiency of data mining.

About this research paper

What this paper is about

A new logistics oriented work flow of data preprocessing is proposed,based on the problems existed in spatial data of logistics.Introduce the advantage of using data preprocessing in the logistics,analyze data preprocessing can improve disintegrate and inconsistency of logistics data,mainly describe the whole process of data preprocessing.At the end,point out the importing data quality will be improved after data preprocessing,then improve the efficiency of data mining.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A new logistics oriented work flow of data preprocessing is proposed,based on the problems existed in spatial data of logistics.Introduce the advantage of using data preprocessing in the logistics,analyze data preprocessing can improve disintegrate and inconsistency of logistics data,mainly describe the whole process of data preprocessing.At the end,point out the importing data quality will be improved after data preprocessing,then improve the efficiency of data mining.

Key concepts: Preprocessor, Data pre-processing, Computer science, Data mining, Work flow, Process (computing), Data quality, Point (geometry)

Related papers

Back to paper searchBrowse research topicsOriginal source
Research and Application on Spatial Data Preprocessing Techniques in Logistics Area — Research Paper | ScholarLens