Study On Analysis Of Automobile Product Competitors Based Data Mining Technology

Along with the reduction of crude oil resources and the increase of people’s awareness of environmental protection,China has become the world’s largest market of new energy vehicles.At present,there are more than 100 new energy vehicles brands,and the international large automobile brands have also begun to enhance new energy models launch,so the new energy vehicle market competition is becoming more and more intense.In order to make the newly developed models reach the expected sales target,automobile manufacturers need to quickly determine the corresponding competitive models of the new models.By comparing and analyzing the technical parameters,configuration differences and performance differences of competing models,can develop and produce the desired models,achieve the expected sales target,and continuously provide high-quality service to customers.This is why auto manufacturers need to accurately analyze competing products.Currently competing analysis methods mainly include the analysis of the existing information,through direct experience product analysis and the investigation of the user’s analysis,analysis of the competing analysis theories,the characteristic and applicability and compares and analyses the process by using K neighboring theory of data mining technology can be well used in competing analysis method.Using data mining technology to analyze competitive products,the model of competitive vehicles should be established.The driving system,chassis system,electronic control system,active and passive safety system,anti-theft safety system,body inside and outside comfort configuration and other large modules of the vehicle are parameterized to obtain the corresponding models respectively,and to achieve the quantitative analysis of competitive models.Collect as much competitive product data as possible after the model is built.Network data acquisition tools are adopted to obtain the data needed for competitive product analysis through channels such as automobile portals and official websites of various automobile brands.SPSS Modeler platform is used to ‘clean up’ the acquired data and screen out useful data to ensure the validity of data quality.The competitive models were determined from different dimensions by SPSS Modeler platform KNN and data clustering model.To determine the model of competitive products,comparative analysis was conducted from different dimensions,such as market attribute,emotional attribute,physical attribute and using attribute,so as to verify the effectiveness of the analysis method of competitive products,which can meet the needs of automobile manufacturers for competitive product analysis.The research results can guide automobile company for the precise development,production and sales of new models in market.