scholarly journals Crime Detection using Data Mining Techniques

2020 ◽  
Vol 10 (5) ◽  
pp. 1-5
Author(s):  
Md. Sumon Rony ◽  
Sagor Chandra Bakchy ◽  
Hadisur Rahman
Keyword(s):  
Data Mining ◽  
Law Enforcement ◽  
Criminal Activity ◽  
Law Enforcement Agencies ◽  
Data Mining Techniques ◽  
Data Mining Approach ◽  
Collection Data ◽  
Crime Detection ◽  
Phase Data ◽  
Using Data

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.

Predictive Models in Cybercrime Investigation

2012 ◽  
pp. 166-177
Author(s):  
A. S. N. Murthy ◽  
Vishnuprasad Nagadevara ◽  
Rahul De’
Keyword(s):  
Data Mining ◽  
Law Enforcement ◽  
Success Rate ◽  
Predictive Models ◽  
Law Enforcement Agencies ◽  
Data Mining Techniques ◽  
Investigation Methods ◽  
The World ◽  
Policy Measures ◽  
Using Data

With increased access to computers across the world, cybercrime is becoming a major challenge to law enforcement agencies. Cybercrime investigation in India is in its infancy and there has been limited success in prosecuting the offenders; therefore, a need to understand and strengthen the existing investigation methods and systems for controlling cybercrimes is greatly needed. This study identifies important factors that will enable law enforcement agencies to reach the first step in effective prosecution, namely charge-sheeting of the cybercrime cases. Data on 300 cybercrime cases covering a number of demographic, technical and other variables related to cybercrime was analyzed using data mining techniques to identify and prioritize various factors leading to filing of the charge-sheet. These factors and the respective priority rankings are used to suggest various policy measures for improving the success rate of prosecution of cybercrimes.

scholarly journals Translated Transcripts From Covert Recordings Used for Evidence in Court: Issues of Reliability

2021 ◽  
Vol 6 ◽  
Author(s):  
David Gilbert ◽  
Georgina Heydon
Keyword(s):  
Law Enforcement ◽  
National Security ◽  
Criminal Activity ◽  
Organised Crime ◽  
Complex Environment ◽  
Criminal Cases ◽  
Law Enforcement Agencies ◽  
Nation States ◽  
Australian State ◽  
Using Data

Nation states increasingly apply electronic surveillance techniques to combat serious and organised crime after broadening and deepening their national security agendas. Covertly obtained recordings from telephone interception and listening devices of conversations related to suspected criminal activity in Languages Other Than English (LOTE) frequently contain jargon and/or code words. Community translators and interpreters are routinely called upon to transcribe intercepted conversations into English for evidentiary purposes. This paper examines the language capabilities of community translators and interpreters undertaking this work for law enforcement agencies in the Australian state of Victoria. Using data collected during the observation of public court trials, this paper presents a detailed analysis of Vietnamese-to-English translated transcripts submitted as evidence by the Prosecution in drug-related criminal cases. The data analysis reveals that translated transcripts presented for use as evidence in drug-related trials contain frequent and significant errors. However, these discrepancies are difficult to detect in the complex environment of a court trial without the expert skills of an independent discourse analyst fluent in both languages involved. As a result, trials tend to proceed without the reliability of the translated transcript being adequately tested.

scholarly journals Crime analysis in India using data mining techniques

2018 ◽  
Vol 7 (2.6) ◽  
pp. 253 ◽  
Author(s):  
Deepika K K ◽  
Smitha Vinod
Keyword(s):  
Data Mining ◽  
Neural Networks ◽  
Random Forest ◽  
Crime Analysis ◽  
Random Forest Algorithm ◽  
Indian States ◽  
Data Mining Techniques ◽  
Crime Data ◽  
Crime Detection ◽  
Using Data

An approach for crime detection in India using Data mining techniques is proposed in this paper. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Data mining techniques are often applied to Criminology as it provides good results. Criminology is a field which studies about various crime characteristics. Analyzing crime data means exploring crime data. Crime is identified using k-means clustering and the clusters are formed based on the similarity of the crime attributes. The Random Forest algorithm and Neural networks are applied on the data for classification. Visualization is achieved using the Google marker clustering and the crime spots are marked on the India map. The accuracy is verified using WEKA tool. This approach will benefit the Crime department of India in analyzing crime with better prediction. The paper focuses on the crime analysis of various Indian states and union territories during 2001 to 2012.  

Predictive Models in Cybercrime Investigation

2010 ◽  
Vol 2 (3) ◽  
pp. 1-12 ◽  
Author(s):  
A. S. N. Murthy ◽  
Vishnuprasad Nagadevara ◽  
Rahul De'
Keyword(s):  
Data Mining ◽  
Law Enforcement ◽  
Success Rate ◽  
Predictive Models ◽  
Law Enforcement Agencies ◽  
Limited Success ◽  
Investigation Methods ◽  
The World ◽  
Policy Measures ◽  
Using Data

With increased access to computers across the world, cybercrime is becoming a major challenge to law enforcement agencies. Cybercrime investigation in India is in its infancy and there has been limited success in prosecuting the offenders; therefore, a need to understand and strengthen the existing investigation methods and systems for controlling cybercrimes is greatly needed. This study identifies important factors that will enable law enforcement agencies to reach the first step in effective prosecution, namely charge-sheeting of the cybercrime cases. Data on 300 cybercrime cases covering a number of demographic, technical and other variables related to cybercrime was analyzed using data mining techniques to identify and prioritize various factors leading to filing of the charge-sheet. These factors and the respective priority rankings are used to suggest various policy measures for improving the success rate of prosecution of cybercrimes.

scholarly journals Systematic Review on the Suspicious Profiles Detection on Online Social Media Data

2017 ◽  
Vol 10 (3) ◽  
pp. 644-652
Author(s):  
Asha Asha ◽  
Dr. Balkishan
Keyword(s):  
Systematic Review ◽  
Data Mining ◽  
Social Media ◽  
Law Enforcement ◽  
Social Media Data ◽  
Data Mining Techniques ◽  
Online Social Media ◽  
Using Data ◽  
Media Data ◽  
Mining Tools

Escalating crimes on digital facet alarms the law enforcement bodies to keep a gaze on online activities which involve massive amount of data. This will raise a need to detect suspicious activities on online available social media data by optimizing investigations using data mining tools. This paper intends to throw some light on the data mining techniques which are designed and developed for closely examining social media data for suspicious activities and profiles in different domains. Additionally, this study will categorize the techniques under various groups highlighting their important features, challenges and application realm.

scholarly journals Crime Detection Using Data Mining Techniques

2021 ◽  
Author(s):  
Sumon Rony ◽  
Sagor Chandra Bakchy ◽  
Hadisur Rahman
Keyword(s):  
Data Mining ◽  
Data Mining Techniques ◽  
Crime Detection ◽  
Using Data

Crime detection and criminal identification in India using data mining techniques

AI & Society ◽  
2014 ◽  
Vol 30 (1) ◽  
pp. 117-127 ◽  
Author(s):  
Devendra Kumar Tayal ◽  
Arti Jain ◽  
Surbhi Arora ◽  
Surbhi Agarwal ◽  
Tushar Gupta ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Mining Techniques ◽  
Crime Detection ◽  
Using Data

Analysis of Crop Yield Prediction of Kharif & Rabi Jowar Crops Using Data Mining Techniques

2017 ◽  
Vol 7 (11) ◽  
pp. 79
Author(s):  
Sujata Mulik
Keyword(s):  
Data Mining ◽  
Crop Yield ◽  
Crop Production ◽  
Climatic Factors ◽  
Crop Productivity ◽  
Yield Prediction ◽  
Data Mining Techniques ◽  
Agriculture Sector ◽  
Using Data ◽  
Rabi Crops

Agriculture sector in India is facing rigorous problem to maximize crop productivity. More than 60 percent of the crop still depends on climatic factors like rainfall, temperature, humidity. This paper discusses the use of various Data Mining applications in agriculture sector. Data Mining is used to solve various problems in agriculture sector. It can be used it to solve yield prediction.  The problem of yield prediction is a major problem that remains to be solved based on available data. Data mining techniques are the better choices for this purpose. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year's crop production. In this paper we have focused on predicting crop yield productivity of kharif & Rabi Crops. 

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