Using Data Mining Tools in Wall-Following Robot Navigation Data Set

被引：2

作者：

Zdrodowska, Malgorzata ^{[1
]}

Dardzinska, Agnieszka ^{[1
]}

Kasperczuk, Anna ^{[1
]}

机构：

[1] Bialystok Tech Univ, Fac Mech Engn, Bialystok, Poland

来源：

15TH INTERNATIONAL CONFERENCE MECHATRONIC SYSTEMS AND MATERIALS, MSM'20 | 2020年

关键词：

data mining; statistic; classification; robot navigation; KNOWLEDGE DISCOVERY;

D O I：

10.1109/msm49833.2020.9201730

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Discovering knowledge in databases is a process for searching clear patterns, not previously known, but with high potential in decision support and characterization of the data. The purpose of data mining is to use the appropriate algorithm for finding dependencies and schemas in the prepared data set, and then representing them in a formal form understandable by the user. In this work, we want to show the possibilities of using data mining and statistical methods to analyze data obtained from mobile robot SCITOSG5 during the simple wall-following task.

引用

页码：159 / 163

页数：5

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