Research Of Business Empowerment Based On Location Data

With the continuous development of mobile devices and telecommunication technologies,Location Based Service(LBS)technologies have developed rapidly,and they are used in emergency services,travel services,navigation guidance,entertainment(games),healthcare/fitness,social networking,etc.The core content of LBS business is location,which changes the formation and maintenance of people’s relationship chain and the way people obtain information.The huge user group has promoted the development of China’s mobile Internet industry.Such massive requests and big data are huge opportunities for the commercialization of positioning platforms and location data,combining big data and multi-disciplinary integration technology can better support more positioning accuracy at the bottom.This paper focuses on the research on data mining and behavior prediction of LBS user trajectory,mainly from the aspects of positioning trajectory dimensionality reduction,semantic-preserving life pattern clustering recognition,user location behavior prediction,etc.,using Geohash,location similarity,clustering,feature Algorithms such as engineering,based on various types of grids from a macro perspective,show the distribution of population heat and business formats in steps,which can intuitively and quantitatively display the market space and competition intensity of various regions of the city,and depict the mobile individuals in different lives from the micro level.Switching modes between zones(eg,business,residential,entertainment,etc.).Based on the LBS trajectory,social media and crowd package geographic information,the "TA"’s daily life,such as eating,living,and traveling,is truly restored.Control to predict the default risk of personal loans,so as to avoid the risk of overdue bad debts.Perform risk assessment on the introduced assets to identify the risk of potential market default;identify the rationality of the location based on multi-source information,effectively identify virtual GPS deception,block high-risk areas,and filter out fraudulent provinces based on user IP and other analysis.Loan application;location data provides consistency verification of user information,and is also suitable for identification and aggregation mining of gang intermediaries,trajectory monitoring of dangerous elements,monitoring of sensitive areas,etc.;according to consumption data in different regions and industries,construct consumption index,which reflects the economic trend,provides decision-making information for the country to issue economic policies.In today’s informatization construction environment and the common use of big data,LBS Internet big data analysis has become an important part of improving service quality and building informatization.