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首页> 外文期刊>International journal of knowledge and web intelligence >Knowledge discovery of tourist subjective data in smartphone-based participatory sensing system by interactive growing hierarchical SOM and C4.5
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Knowledge discovery of tourist subjective data in smartphone-based participatory sensing system by interactive growing hierarchical SOM and C4.5

机译：基于智能手机的参与式感知系统中交互式成长式SOM和C4.5知识对旅游主观数据的知识发现

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A self organising map (SOM) is trained using unsupervised learning to produce a two-dimensional discretised representation of input space of the training cases. Growing hierarchical SOM is an architecture which grows both in a hierarchical way representing the structure of data distribution and in a horizontal way representing the size of each individual maps. The control method of the growing degree by pruning off the redundant branch of hierarchy in SOM has been proposed and the criteria were designed by the adjustment of parameter settings according to a quantisation error and the size of map. Moreover, the interface tool for the proposed method called the interactive GHSOM has been developed. The interactive GHSOM can determine the knowledge of classification from the hierarchy of structure. A smartphone-based tourist participatory sensing system has been developed in Android smartphone. The system can collect tourist subjective data which includes jpeg files with GPS, geographic location name, the evaluation, and comments written in natural language at sightseeing spot. In this paper, we classified the subjective data by interactive GHSOM and extracted the rules by C4.5. After the interactive GHSOM implementation, the structure of the extracted rules became a lucid expression.
机译：使用无监督学习来训练自组织图（SOM），以生成训练案例输入空间的二维离散表示。增长的分层SOM是一种既以分层的方式（表示数据分布的结构）又以水平的方式表示每个单独的地图的大小的结构。提出了通过删减SOM中层次结构的冗余分支来控制增长程度的方法，并根据量化误差和图的大小通过调整参数设置来设计标准。此外，已经开发了用于所提出的方法的称为交互式GHSOM的接口工具。交互式GHSOM可以从结构层次确定分类知识。在Android智能手机中已经开发了基于智能手机的游客参与感测系统。该系统可以收集游客主观数据，包括带有GPS的jpeg文件，地理位置名称，评估以及在景点中以自然语言编写的注释。在本文中，我们通过交互式GHSOM对主观数据进行分类，并通过C4.5提取规则。在交互式GHSOM实现之后，提取的规则的结构变得清晰明了。

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