Abstract
As crime rates keep spiraling each day, new challenges are faced by law enforcement agencies. They have to keep their on the lookout for any signs criminal activity. The law enforcement agencies should therefore be able to predict such increase or decrees or trends in crime. Such as theft, Killing. Crime that may occur in a particular area in a particular month, year, any timespan. Data mining is defined as a process of discovering hidden valuable knowledge by analyzing large amounts of data, which is stored in databases or data warehouse, using various data mining techniques such as machine learning, artificial intelligence, statistical. Many algorithms for data mining approach to help detect the crimes patterns. Data Collection, Data Preprocessing Phase, Data Filtering, Linier Regression. Wekasoft are used for collection of data analyzing. Visualization finally get results. The advantage of using this tool is that clustering will be performed automatically.
Highlights
Data mining is a process of useful information and patterns from huge data
It is called as knowledge discovery process, knowledge mining from data, knowledge extraction or data /pattern analysis. This term originally referred to the algorithmic step in the data mining process, which initially was known as the Knowledge Discovery in Databases (KDD) process
An instance filter that adds a new attribute to the dataset [4]
Summary
Data mining is a process of useful information and patterns from huge data. It is called as knowledge discovery process, knowledge mining from data, knowledge extraction or data /pattern analysis. This term originally referred to the algorithmic step in the data mining process, which initially was known as the Knowledge Discovery in Databases (KDD) process. Data mining is a process that takes data as input and outputs knowledge
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