Research On Job-related Crime Preventing Information System Of State-owned Enterprises

In this paper,the subjective and objective of the crimes of state-owned enterprises from the view of,at the same time,the in-depth analysis of the crimes of state-owned enterprises by public policy theory,theory of law and big data theory,state-owned enterprise work personnel duty crime prevention and punishment of the strategy,to ensure the state-owned enterprises in the healthy development of a good environment.This paper will be discussed from the following parts:The first part: the introduction part mainly discusses the background of the research mechanism of the State-owned enterprise "s duty crime,and the significance of the research on the duty crime of the State-owned enterprises.Based on the domestic and foreign research on the crime of duty crime and the State-owned enterprises,the author concludes that the main focus is on the information system of the position of the State-owned enterprises.At last,according to the subject of this paper,the research methods and the innovation points of this paper are introduced.The second part: this part is mainly to the state-owned enterprise duty crime related overview.Including the relationship between the crimes of the meaning of state-owned enterprises,state-owned enterprises,the meaning of duty crimes and ordinary crimes,and the types of crimes of state-owned enterprises are studied,analysis of corruption and malfeasance two main types of the crimes of state-owned enterprises;analysis on the current situation of crimes of state-owned enterprises and the main characteristic,finally according to the crimes of state-owned enterprises own characteristics,put forward the necessity and feasibility of the duty crime prevention information system of state owned enterprises.The third part: the current situation of the prevention of duty crime in state owned enterprises.The author puts forward the theory and method of state owned enterprise crime prevention is the needs of social development,starting from the study of crime risk and early warning index system of crimes of state-owned enterprises,state-owned enterprises overall grasp of the duty crime,summarizes the research on crimes of state-owned enterprises work time,puts forward the state-owned enterprise duty crimeprevention information under the new situation.Based on big data to study the duty crime of state-owned enterprises is an important way to carry out the prevention work of duty crime.The fourth part: the construction of the information sharing system of the duty crime prevention in the state owned enterprises.The information sharing mechanism of crime prevention of state-owned enterprises from the view of information index of state-owned enterprises constitute crimes,mainly is an accurate early warning mechanism for the needs of all types of information to obtain the whole process of staff work in state-owned enterprises.The duty crime prevention information sharing system of state-owned enterprises is mainly composed of two parts,the external sharing system and the internal sharing system.The fifth part: the construction of the technical model of the duty crime of state owned enterprises under the background of big data theory.Based on the objective and requirement of the duty crime of state owned enterprises,the analysis model of the computer system for the duty crime of the State-owned enterprises is established.This paper introduced the theory and specific techniques of data under the background of big data mining,and points out that the data mining method compared with the traditional advantages of state-owned enterprises in the crime prevention aspects,proposed the establishment of necessity analysis system of crime prevention duties of state owned enterprises.By using the clustering and classification algorithms of data processing,the analysis of the duty crime prevention of the state owned enterprises is combined with the system analysis model.According to the overall design of the system model of the main module of the process,and to the crime data of 2014-2015 years of state-owned enterprises as the basis,using clustering and classification algorithm of data and analysis of crimes of state-owned enterprises.The sixth part: the goal and design of the duty crime prevention information system of the state owned enterprises.Set the duty crime information system of state-owned enterprise goal,goal oriented,in order to design the background based on the idea of the duty crime information system of state-owned enterprises from the overall grasp,the main task of the proposed information system.The construction of crime preventioninformation sharing mechanism must be comprehensively the work of the state-owned enterprises,find independent risk point,and develop effective prevention and control measures,which effectively monitor in the exercise of administrative power in the process can be analyzed,by anticipation of all kinds of administrative behavior,so as to find signs of crime in a timely manner,to carry out effective forecasting and early warning.The seventh part: the operation and improvement of the duty crime prevention information system of the state owned enterprises.The use of computer technology to each of the acceptance,examination and approval and information collection,analysis and monitoring for all aspects of early warning and other illegal acts found in the monitoring process,prevent the crime phenomenon from the source,through the network and collecting relevant data for statistical analysis,dynamic assessment system administrative behavior,is conducive to the timely discovery and make up for the weak link of business process in administration,and to provide reference for improvement of administrative behavior,ensure the administrative work of the scientific process,standardization and standardization.The eighth part: conclusion and prospect.The innovation of this research is the new era of big data information technology applied to the state-owned enterprise crime by taking advantage of duty prevention work in,the seven research conclusions are summarized,but due to the topic of this paper is to combine the public management and data analysis applications,belonging to the cross disciplinary research topics,of cross domain data technology research from scratch,also due to the limitation of time and energy Co.,the length of the article and the research ability of objective and subjective reasons,the work of data mining research is not enough skilled,if you want to further achieve effective engineering application,also need to in the technology to further deepen...