Research on Optimization of sports tourism route planning based on KDD from the perspective of knowledge map

Dandan Wu, Zhen Huang, Shaowei Chen
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Abstract

Knowledge map technology is a new Internet technology. It has better foresight and advanced technology, and has broad application prospects. Knowledge map technology provides the ability to analyze problems from the perspective of "relationship", and can deeply mine data. Aiming at the poor performance of traditional sports tourism route planning system, a sports tourism route planning system based on data mining (KDD) from the perspective of knowledge map is designed. This paper studies the present situation of tourism route planning, introduces the methods used in tourism route planning, introduces the basic concept of association rule mining, and analyzes its main process. In order to prove that the system has better performance in sports route planning, the traditional sports tourism route planning system is added in the experiment to obtain the experimental results compared with this system. The experimental results show that the performance of this system is better than the traditional sports tourism route planning system, and it is more suitable for sports tourism route planning.
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知识地图视角下基于KDD的体育旅游路线规划优化研究
知识地图技术是一种新型的互联网技术。具有较好的预见性和先进的技术,具有广阔的应用前景。知识地图技术提供了从“关系”的角度分析问题的能力,可以对数据进行深度挖掘。针对传统体育旅游路线规划系统性能不佳的问题,设计了一种基于知识地图视角的数据挖掘(KDD)体育旅游路线规划系统。本文研究了旅游线路规划的现状,介绍了旅游线路规划中使用的方法,介绍了关联规则挖掘的基本概念,分析了其主要过程。为了证明该系统在体育路线规划方面具有更好的性能,在实验中加入了传统的体育旅游路线规划系统,并与该系统进行了对比实验结果。实验结果表明,该系统的性能优于传统的体育旅游路线规划系统,更适合体育旅游路线规划。
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