An Application of Data-mining with Bus Survey Data
Author(s): LIU Yugang, AN Dongdong
Pages: 96-101
Year: 2014 Issue: 2
Journal: Highway Engineering
Keyword: urban traffic; data mining; clustering analysis; bus survey data;
Abstract: According to the need of mining information behind bus survey data,this paper mainly discusses the data mining technology in the application of bus survey data. First the paper introduces the theoretical concepts and tasks of data mining methods,summarizes the conventional process of data min-ing,and then on the bases of analysis the modeling methods of several data mining models,we find k-means is the most suitable model for bus survey data clustering analysis;paper also uses DaZhou bus sur-vey data for instances,with age,job,days per week,cost per month,type of payment,and uses SPSS Cle-mentine as a platform and k-means as a model for data clustering analysis,obtains larger similarity of sev-eral groups of categories,and carries on the chart analysis,get corresponding suggestions of optimizing bus service,achieve the objective of the initial information hidden in transit survey data.
Pages: 96-101
Year: 2014 Issue: 2
Journal: Highway Engineering
Keyword: urban traffic; data mining; clustering analysis; bus survey data;
Abstract: According to the need of mining information behind bus survey data,this paper mainly discusses the data mining technology in the application of bus survey data. First the paper introduces the theoretical concepts and tasks of data mining methods,summarizes the conventional process of data min-ing,and then on the bases of analysis the modeling methods of several data mining models,we find k-means is the most suitable model for bus survey data clustering analysis;paper also uses DaZhou bus sur-vey data for instances,with age,job,days per week,cost per month,type of payment,and uses SPSS Cle-mentine as a platform and k-means as a model for data clustering analysis,obtains larger similarity of sev-eral groups of categories,and carries on the chart analysis,get corresponding suggestions of optimizing bus service,achieve the objective of the initial information hidden in transit survey data.
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