Architecture of Decision Support System for Crime Visualization (original) (raw)

IJIERT-AN OVERVIEW OF A CRIME DETECTION SYSTEM USING THE ART OF DATA MINING

NOVATEUR PUBLICATIONS , 2020

To predict crime and analyze crime activity we need to proceed with a systematic approach with data mining. By using a data mining system one can predict locations that have a huge probability. And one also can inward eye by using this method. It will increase the computerized systems. Our main problem is that we are looking at the crime occurrences but not at the key factors of crime. If we use data mining we can form any unstructured data to structured data. By which we can find also some prediction before the crime. We can set a bridge between computer science and criminal justice board using the data mining process by which we can catch the factor very fast and also very easy. Culprits also are divided based on their data. Crime and illegal services are increasing rapidly now. We suggest a methodology by which we can detect culprits, predict crime by analyzing previous crime reports of the regions. For establishing this we need crime data from police station websites, govt. crime websites etc. Using the Naïve Bayesian algorithm on these pre-processed data we can easily predict the stat of crimes. With this system we can establish a secure society which will free from crime and people can lead their life soundly and also happily. So that we need this data mining system and it will increase the usage of computer science and engineering in this era of science. We propose to the prediction of real-time. Though it will difficult to get accurate cause crimes are doing their crimes using different and complex methods. They are also clever. But the bridge of data between the police station and system of data mining will report about further and upcoming crimes. And for easy understanding of the police government we need to use graph data mining so that they will easily get points. This paper will describe kinds of criminal activities and criminal pathway methods after a crime which we will solve by using the data mining system. SO, we need to locate the maximum crime location area first. We can also detect the hotspot area and will get some data also from social sites. Data analysts of crime can help the law department to solve this problem. The Law department can also reduce crime hotspots. Using this method we need to extract previous criminal data. So, the bridge between computer science and the law will help the world to free from crime. INTRODUCTION Data mining is the key factor that can evaluate and process large previously known data in case of generating information that can be vital to an organization. Data mining is such a method which can invent graph in a large number of data sets including method of ML, stat and database. Data mining is an approach that formats large data sets and can find the results for further use of analyzation. Data mining increases the bridge length of crime and justice using its system. By using a data system we can track criminals in a faster way. We can predict the hotspots using data mining by which the criminal will get caught before doing any crime. In this paper we are taking an interdisciplinary way between computer science and criminal justice to develop a data mining pattern. After developing the pattern we can reduce crime faster. We can also predict criminals by using data mining. In this paper we are presenting the survey about crime patterns, crime prediction using this system. The fraud detection method can also be made using these data mining systems. We often see some frauds in the telecom industry. So that we can get rid of this using data mining. In this

Crime Pattern Analysis, Visualization And Prediction Using Data Mining

International Journal of Advance Research and Innovative Ideas in Education, 2015

Crime against women these days has become problem of every nation around the globe many countries are trying to curb this problem. Preventive are taken to reduce the increasing number of cases of crime against women. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analysing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyse crime pattern, inter-related clues& important hidden relations between the crimes. That is why data mining can be great aid to analyse, visualize and predict crime using crime data set. Classification and correlation of data set makes it easy to understand similarities & dissimilarities amongst the data objects. We group data objects using clustering technique. Dataset is classified on the basis of some predefined condition. Here grouping is done according to various ty...

Appling Data Mining Technique for Crime Prevention: The Case of Hossaena Town Police Office

The Law enforcement agencies like that of police today are faced with large volume of data that must be processed and transformed into useful information and hence data mining can greatly improve crime analysis and aid in reducing and preventing crime. The purpose of this study is to construct predictive models that could help in the effort of crime pattern analysis with the aim of supporting the crime prevention activities at the Hossaena town police office. For this study, a six-step hybrid knowledge discovery process model is followed, due to the nature of the problem and attributes in the dataset. The classification technique such as J48 decision tree and Naive Bayes used to build the models. Performance of the models is compared using accuracy, True Positive Rate, False Positives Rate, and the area under the Relative Optical character curve. J48 decision tree registers better performance with 96.34% accuracy. Lastly for extracting the knowledge the researcher develop the prototype for the user for support the decision which crime is assigned under the serious, medium or low for this purpose the researcher generate the prototypes.

Crime Pattern Analysis, Visualization and Pridiction Using Data Mining

IJRASET, 2021

Crime against women these days has become problem of every nation around the globe many countries are trying to curb this problem. Preventive are taken to reduce the increasing number of cases of crime against women. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analyzing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyze crime pattern, interrelated clues& important hidden relations between the crimes. That is why data mining can be great aid to analyze, visualize and predict crime using crime data set. Classification and correlation of data set makes it easy to understand similarities & dissimilarities amongst the data objects. We group data objects using clustering technique. Dataset is classified on the basis of some predefined condition. Here grouping is done according to various types of crimes against women taking place in different states and cities of India. Crime mapping will help the administration to plan strategies for prevention of crime, further using data mining technique data can be predicted and visualized in various form in order to provide better understanding of crime patterns

ANALYSIS OF CRIME DATA USING DATA MINING ALGORITHM

Crimes are a social disturbance and cost the general public to a great degree from numerous points of view. Any examination that can help in breaking down and solving crime faster pays for itself. Crime data mining has the capacity of extricating helpful data and concealed examples from the substantial wrongdoing informational indexes. The crime data mining challenges are getting to be fortifying open doors for the coming years. Since the writing of crime information mining has expanded energetically as of late, it winds up obligatory to build up a diagram of the cutting edge. This orderly survey centers around crime data mining procedures and innovations utilized as a part of past investigations. The current work is grouped into various classifications and is introduced utilizing perceptions. This paper additionally demonstrates a few difficulties identified with crime data research.

A Real Time Crime Intelligence System using Data Mining

Real time crime intelligence system is where detecting the crime pattern and its frequency in the respective localities the respective paper concentrate particularly about the crime even which happen in very small localities, by developing a system application for the investigating agencies by using the concepts of data mining with the help of comparative analysis of two algorithms i.e. Apriori and apriori tid with the association rule combined. Which lead to the decrease in the crime rate because precaution is better than cure.

Intelligent Crime Investigation Using Data Mining Techniques

Many police departments in all over the world lack of fast crime investigation systems. The amount of crimes recorded each year is very high. For example, Sri Lankan police department records around 55,000 grave crimes each year. Not only that, the geographical diversity and the modi operandi diversity of these crime data is very high and the amount of deceptive incidents recorded will also be very high. Due to these problems, recording, investigation, analysis and maintenance of crime data have become a tedious task. Therefore, the necessity of a good automated crime analysis system arises in many police departments in all over the world. This paper proposes a good and efficient automated intelligent crime investigation system for the Sri Lankan police department. The proposed system is expected to be developed based on data mining and GIS technologies.

Analysis of Crime Pattern using Data Mining Techniques

International Journal of Advanced Computer Science and Applications

The advancement in Information Technology permits high volume of data to be generated in databases of institutions, organizations, government, including Law Enforcement Agencies (LEAs). Technologies have also been developed to store and manipulate these data to enhance decision making. Crime remains a severe threat to humanity. Criminals currently, exploit highly sophisticated technologies to perform criminal activities. To effectively combat crime, LEAs must be adequately equipped with technological tools such as data mining technology to enable useful discoveries from databases. To achieve this, a Real-time Integrated Crime Information System (RICIS) was developed and mobile phones were used by informants (general public) to capture information about crimes being committed within Southern-East, Nigeria. Each crime information captured is being sent to the LEA responsible for the crime type and the information is stored in the agency database for data analysis. Thus, this study uses data mining algorithms to analyze crime trends and patterns in Southern-Eastern part of Nigeria between 2012 and 2013. The algorithms adopted were Classification and Rule Induction. The data set of 973 were collected from Eleme Police station, PortHarcourt (2012) and Nsukka Police station (2013). The analysis enables identifications of some trends of crimes and criminal activities from various LEAs databases, enhancing crime control and public safety.

Escalation of Crime Trouble Diminishment via Crime Data Mining Stimulation

2012

There had been an enormous increase in the crime in the recent past. Crime prevention is a primary concern of police as they perform their central role of protecting the lives and property of citizens. However, information and technology overload hinders the effective analysis of criminal and terrorist activities. Crime deterrence has become an upheaval task. The cops in their role to catch criminals are required to remain convincingly ahead in the eternal race between law breakers and law enforcers. Police often have at their disposal vast amounts of least utilized crime data (such as crime incident reports) which if analyzed could reveal some hidden information such as crime committing trends useful in crime prevention. Use of Information Systems techniques such as data mining and Geographic Information Systems for analyzing these data is promising in boosting the police efforts. This paper reviews the applicability of various data mining methods and Geographic Information Systems...