If you have a degree in statistics and want to get into crime data analysis, there are a few things you should know. One of them is that the techniques used to identify the perpetrators are based on association rule mining and Naive Bayes.
Predicting the perpetrators
Predicting the perpetrators is an important task for law enforcement agencies. It is a challenge that has been studied extensively by researchers. These studies analyze different types of crime data and provide important insights. They help law enforcement make better decisions.
In this study, researchers use actual cybercrime data and machine-learning algorithms to predict the perpetrators of cyber-attacks. The results show that the accuracy of predictions ranges from 64.0% to 80%. This accuracy can be compared with other similar studies.
In addition, the method used in this study can be applied to other provinces. The analysis of crime data is conducted on publicly available data. For this purpose, the data were rescaled using the normal distribution.
Researchers collected data through web reporting applications, mobile reporting applications, and social media platforms. These data were then separated into crime and non-crime. Participants were then randomly assigned to one of twenty subsets.
Participants were then asked to estimate whether the defendant would recidivate within two years of the most recent crime. A description of the defendant was given to each participant. Some descriptions included age, previous criminal history, and sex.
Association rule mining
Association rule mining is a type of data mining used to identify association rules in data. The main purpose of association rule mining is to identify interesting correlations.
An association rule is a series of words that refers to a logical relationship among different word frequencies. This is measured by confidence, a measure of the frequency of the rule’s occurrence.
Apriori is a machine learning algorithm that analyses and generates a series of association rules. It works by using a series of attributes, including a lexicon, an eclat, and a breadth-first search strategy.
Apriori is a cross of a prefix tree and a branching technique. For instance, the first 12 rules are listed according to their maximum support values.
The FP growth formula is also known as the recurring pattern. This is a formula that was designed to compress frequent item sets.
The aforementioned FP-Growth algorithm is implemented with R programming. It uses the FP-tree data structure to reduce the size of the data source.
Naive Bayes is an algorithm that uses the most basic knowledge of probability to classify data. It can be applied in many real projects and has decent performance.
The algorithm performs a backward feature selection to find the most effective features. This selection helps in reducing the number of variables in the model and improves its accuracy.
Several classification algorithms are available for crime data analysis. These include Naive Bayes, Extremely Randomized Trees, and Random Forests.
Among these, Naive Bayes is the most commonly used. Using the algorithm, a number of criminal trends can be identified. It can be useful in predicting violent crimes.
Another algorithm that can be used in predicting crime is the genetic algorithm. It is a biologically inspired decision-making process that works quickly and gives optimal solutions. Moreover, the algorithm can be applied to other fields as well.
Another method of predicting crimes is using computer vision. It can be applied to detect suspicious objects and determine the crime scene.
Degrees in crime data analysis
A degree in crime data analysis is an excellent preparation for becoming a crime analyst. This specialized field of study allows you to analyze criminal behavior and help law enforcement, security agencies, and corrections departments prevent and solve crimes. The field has grown in popularity as a way to gain a unique perspective on criminal activities and trends.
Students can pursue degrees in crime data analysis by enrolling in online or on-campus programs. There are many types of degrees, including bachelor’s and master’s programs. Online degrees are often more flexible, allowing students to take classes at their own pace and in a format that suits their schedules.
Bachelor’s degrees are generally four years in length. They include a variety of general education courses, as well as major courses in the areas of geography, law, criminology, or statistics. Some degrees offer specializations, such as homeland security or white-collar crime.
Students in this program learn about various sources of crime data, how to conduct research, and how to prepare basic graphs and charts. In addition, they are introduced to the techniques of crime mapping.