Design Of Neo4j-based Personnel Association Analysis And Drug Addiction Tendency Prediction Platform

This paper aims to solve the problems that will be encountered in real life,that is,how to screen,analyze and find out the required personnel information from the massive personnel information in this information era.This paper aims to provide its own Suggestions for this problem and contribute its own strength to solve this problem.The main content of this paper is to conduct Personnel Association Analysis Based on Neo4j database and design a platform for drug abuse tendency prediction,which can be divided into the following aspects.The first aspect is the social background,research purpose and research status of this field at home and abroad.The second aspect is the introduction of related theoretical knowledge,including the introduction of related concepts such as graphics database Neo4j and SVM classifier.The third aspect is the design of platform,including the design of core principles.Through the analysis,screening and prediction of the data,and combining with the actual drug abuser analysis system,the accurate prediction of the suspect’s drug abuse tendency can be achieved.In the development of database technology,many data models have appeared.There are three commonly used models,namely hierarchical model,graphical model and relational model.The relational model is based on strict mathematics,high data independence and security.Relative database is the most widely used data technology at present,but with the expansion of data scale and the improvement of data complexity,relational model can not meet the needs of practical application.Taking social redesign as an example,the insufficiency of relational database itself will lead to data redundancy,and it can not adapt to the dynamic nature of social data,also can not well support complex checks at different levels.Between dynamic data,we turn our attention to graphical databases.Graphic database can effectively store,manage and update data and its internal relations,and can perform complex multi-layer operations,among which Neo4j is the representative.In the social relationship analysis system of drug addicts based on database,the background of social relationship of drug addicts,the data source and relationship definition of social relationship of drug addicts are analyzed.Finally,the data of social relationship of drug addicts are analyzed and processed to get the direction of the prediction algorithm.The main content of this paper is to conduct personnel association analysis and design a prediction platform for drug abuse tendency based on Neo4j database,which can be divided into the following aspects.The first on the one hand,this paper studies the social background and research purpose and the status for the research of this field at home and abroad and the second aspect is related to the theory of knowledge is introduced,including secondary and graphics database,the introduction of the concept of the SVM classifier and so on,the third aspect is the design of the platform,including the core principle of design,analysis of data filtering and prediction,and connecting with the actual drug addicts analysis system,etc.,finally realizes the accurate projections for suspect whether has a tendency to drug use.Due to my limited academic ability and knowledge range,the paper written inevitably has shortcomings and welcome criticism from all circles.