combating crime and terrorism using data mining techniques

combating crime and terrorism using data mining techniques

Information Technology for People-Centred Development

2011-8-8 NIGERIA COMPUTER SOCIETY (NCS): 10TH INTERNATIONAL CONFERENCE JULY 25-29, 2011 COMBATING CRIME AND TERRORISM USING DATA MINING TECHNIQUES Raphael Obi Okonkwo1 and Francis O. Enem2 1Department of Computer Science, Nnamdi Azikiwe University, Awka 2Management Information System Unit, University of Nigeria, Nsukka, ABSTRACT In the wake of 9/11 terrorist

Combating Crime And Terrorism Using Data Mining Techniques

combating crime and terrorism using data mining techniques Overview Integrating Law Enforcement Security Intelligence Combating Crime August criminal justice, intelligence, terrorism, security

Data Mining and Data Analysis for Counterterrorism

2004-3-1 Data-mining and automated data-analysis techniques are powerful tools for intelligence and law enforcement officials fighting terrorism. But these tools also generate controversy and concern. They make analysis of data--including private data--easier and more powerful, and this can make private data more useful and attractive to the government.

Combating Terrorism Using Enhanced K-Means

2014-12-11 Keywords: Clustering, data mining, k-means, counter-terrorism, predictive analytics. I. INTRODUCTION Data mining is concerned with the automatic discovery of patterns and relationships in large databases. Data mining techniques have higher influence in the fields such as, Law and Enforcement for crime problems, crime data analysis,

A SURVEY OF BIG DATA AND DATA MINING TECHNIQUES FOR CRIME

2020-11-30 Data Mining, the method of uncovering sensitive information from big data, is now an effective tool for combating, curbing and preventing crimes of all sorts. The main aim of this paper is to provide a systematic survey of how Data Mining techniques are applicable in combating crimes.

(PDF) A Conjoint Application of Data Mining Techniques for

A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism. We applied these techniques to real crime data

(PDF) A Conjoint Application of Data Mining Techniques for

A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks : Prevention and Prediction for Combating Terrorism. terrorist factors using data

Data Mining to Combat Terrorism and the Roots of Privacy

Executive Committee ACM SIGKDD (Association For Computing Machinery, Special Interest Group on Knowledge, Discovery & Data Mining). `Data mining’ is NOT against civil liberties. June 30, 2003 (revised July 28, 2003) GAO (General Accounting Office). Data mining. Federal efforts cover a wide range of uses. GAO Report 04-548, GAO, Washington, DC

Location Based Crime Detection Using Data Mining

Data mining and machine learning have become a vital part of crime detection and prevention. In this research, we use WEKA, an open source data mining software, to conduct a comparative study

Data Mining for Terrorists Schneier on Security

2006-3-9 Taken together, these facts mean that data mining systems won’t uncover any terrorist plots until they are very accurate, and that even very accurate systems will be so flooded with false alarms that they will be useless. All data mining systems fail in two different ways: false positives and false negatives.

Information Technology for People-Centred Development

2011-8-8 NIGERIA COMPUTER SOCIETY (NCS): 10TH INTERNATIONAL CONFERENCE JULY 25-29, 2011 COMBATING CRIME AND TERRORISM USING DATA MINING TECHNIQUES Raphael Obi Okonkwo1 and Francis O. Enem2 1Department of Computer Science, Nnamdi Azikiwe University, Awka 2Management Information System Unit, University of Nigeria, Nsukka, ABSTRACT In the wake of 9/11 terrorist

Combating Terrorism Using Enhanced K-Means

2014-12-11 Keywords: Clustering, data mining, k-means, counter-terrorism, predictive analytics. I. INTRODUCTION Data mining is concerned with the automatic discovery of patterns and relationships in large databases. Data mining techniques have higher influence in the fields such as, Law and Enforcement for crime problems, crime data analysis,

(PDF) A Conjoint Application of Data Mining Techniques for

A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism. We applied these techniques to real crime data

Data Mining to Combat Terrorism and the Roots of Privacy

Executive Committee ACM SIGKDD (Association For Computing Machinery, Special Interest Group on Knowledge, Discovery & Data Mining). `Data mining’ is NOT against civil liberties. June 30, 2003 (revised July 28, 2003) GAO (General Accounting Office). Data mining. Federal efforts cover a wide range of uses. GAO Report 04-548, GAO, Washington, DC

Data Mining for Terrorists Schneier on Security

2006-3-9 Data mining may be very effective against terrorism, if you’re looking for related events instead of suspicious ones. For example, given a known terrorist, data mining can point to other terrorists from his cell. People who are working together usually share some common behaviour.

[PDF] Data Mining: An Active Solution for Crime

The purpose of this paper is to suggest ways by which law enforcement and intelligence agencies can analyze large volume of data using data mining as one of the ways of getting active solutions for crime investigation in Nigeria. The problem is, the general public are extremely concerned on how the activities of the terrorist in Nigeria can be reduced if it cannot be completely eliminated.

(PDF) A Conjoint Application of Data Mining Techniques for

A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks: Prevention and Prediction for Combating Terrorism January 2020 DOI: 10.1007/978-3-030-14687-0_13

Using Data Mining Techniques To Track ISIS Activities

Request PDF On Apr 1, 2018, Zinab Abdullah and others published Using Data Mining Techniques To Track ISIS Activities Find, read and cite all the research you need on ResearchGate

Crime Prediction System SpringerLink

2020-3-4 Okonkwo RO, Enem FO (2011) Combating crime and terrorism using data mining techniques. In 10th international conference IT people centred development, Nigeria Computer Society, Nigeria Google Scholar 12.

Detecting and investigating crime by means of data mining

2011-1-1 An approach based on data mining techniques is discussed in this paper to extract important entities from police narrative reports which are written in plain text. By using this approach, crime data can be automatically entered into a database, in law enforcement agencies.

HUMINT: Combating Corporate Crime with a Counter-Terrorism

2 天前 Embedded in the newly created HUMINT teams of two large corporations, the researchers collected data through in-depth interviews, on-site observations and document analysis. The findings highlight three lessons.

Data Mining for Counter-Terrorism CiteSeerX

Data mining is the process of posing queries and extracting useful patterns or trends often previously unknown from large amounts of data using various techniques such as those from pattern recognition and machine learning. There have been several de-velopments in data mining and the technology is being used for a wide variety of ap-191

Strategic Pan-European Ballistics Intelligence Platform

2018-1-23 • The development of techniques for the mining of data and extraction of knowledge about gun crime across the EU. • The exploitation of automated and semi-automated processing and analysis of crime data to generate Red Flags showing situational awareness through the analysis of complex data with multiple reference models.

DRUG control, CRIME prevention and combating

2020-10-2 drug control, crime prevention and combating terrorism 100 Report of the Secretary-General on the work of the Organization The International Day of

Crime Analysis using K-Means Clustering

2013-12-12 existing data and anticipation of crime rate using different data mining techniques 3. Detection of crime 2. RELATED WORK Data mining in the study and analysis of criminology can be categorized into main areas, crime control and crime suppression.

Data Mining Techniques for Anti-Money Laundering

2016-7-15 3.1 Classifying Blood Donors Using Data Mining Techniques This study has revealed classification procedures for Blood Collection Donors data sets. This, in fact, is attained through the use of data mining classifiers to create a decision tree. The

Combating Terrorism In India Through Prediction of Risk

Data mining classification techniques are mostly used to handle the problem of terrorism in India. An Ensemble Model building approach to classify worldwide terrorist attacks for the prediction of the fatality-risk associated with the terrorist attacks by utilizing different classifiers such as Decision Tree, Naïve Bayes, Lazy classifier IBK

Crime Analysis Using K-Means Clustering IJERT

2018-6-4 Prediction of crime based on spatial distribution of existing data and anticipation of crime rate using different data mining techniques. Detection of crime. RELATED WORK. Data mining in the study and analysis of criminology can be categorized into main areas, crime control and crime suppression.

What is the role of UNODC in combating terrorism in the

2021-7-15 What is the role of UNODC in combating terrorism in the Middle East and the Gulf? As the custodian of international norms and standards on crime prevention, the UN Office on Drugs and Crime

An innovative approach in combating economic crime using

2020-7-7 The purpose of this study is to develop an innovative approach of combating economic crime using the forensic accounting techniques.,The approach considered the identification of the effective forensic accounting techniques from the available literature and also explored the anti-economic crime policy, capable of assisting in the combating of economic crime.

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