Petitioner Moot Memorial including Charges and Argument Advanced.docx
CRIME.pptx
1. Index
1. Data mining , what is it ?...............................................................
2. Abstract………………………………………………………………...
3. Introduction……………………………………………………………
4. Doing analysis is a hard job !........................................................
5. Steps in doing crime analysis……………………………………….
6. Related work…………………………………………………………..
7. Methodology…………………………………………………............
8. Future work ……………………………………………………………
9. Crime profiling…………………………………………………….......
10. Advantages……………………………………………………………
11. Disadvantages………………………………………………………..
2. Data mining , what is it ?
Data mining is about finding new information in a lot of data.
Generally data mining ( sometimes called data or knowledge discovery ) is
the process of analyzing data from different perspectives and summarizing
it into useful information – information that can be used to increase
revenue , cuts costs , or both.
Data mining software is one of a number of analytical tools for analyzing
data.
3. Abstract
What is crime analysis ?
Crime analysis is a law enforcement function that involves systematic
analysis for identifying and analyzing patterns and trends in crime and
disorder.
The proposed system has an approach between computer science and
criminal justice to develop a data mining procedure that can help solve
crimes faster.
4. Introduction
It is only within the last few decades that the technology made spatial data
mining a practical solution for wide audiences of law enforcement officials
which is affordable and available.
Huge chunks of data to be collected-web sites, news sites, blogs, social
media, RSS feeds etc.
So the main challenge in front of us is developing a better , efficient crime
pattern detection tool to identify crime patterns effectively.
5. Doing analysis is a hard job !
The reason for the choosing this (clustering)
Only known data present with us
Classification technique will not predict well
Also nature of crimes change over time
So in order to be able to detect newer and unknown patterns
in future , clustering techniques work better.
6. Steps in doing crime analysis
Data collection
Classification
Pattern
Prediction
visualization
7. Related work
Serial finder for finding the patterns in burglary.
For achieving this they used the modus operandi of offender and they
extracted some crime patterns which were followed by offender.
The algorithm constructs modus operandi of the offender
8. Methodology
Collection data from various sources like news sites , blogs , social media
RSS feeds etc.
But the data we got is “very unstructured ” !, and how do we store it ?
The advantage of NO SQL database is that it allows insertion of data
without a predefined schema
Object – oriented programming – hence is easy to use and flexible.
Unlike sql database it not need to know what we are storing in advance
specify its size etc.
9. Methodology
Classification
Naïve baye – a supervised learning method as well as a
statistical method
The algorithm classifies a news article into a crime type to
which it fits the
Best eg.”what is the probability that a crime document d
belongs to a given class c ?”
10. Future work
Criminal profiling
Helps the crime investigators to record the characteristics of criminals
The main goal of doing criminal profiling is that :
To provide crime investigatigators with a social and psychological
assessment of the offender
To evaluate belongs found in the possession of the offender
For doing this the maximum details of each criminals is collected from
criminal records and the modus operand I is found out
12. Advantages
Helps to prevent crime in society
System will keep historical record of crime
System is user friendly
Saves the time
13. Disadvantages
Users who don’t have internet connection can not access the system
Admin must enter correct records otherwise system will provide wrong
information
