Exam 9: Data Mining and Analyzing Intelligence
Exam 1: The Crime Problem23 Questions
Exam 2: What Do We Know About Crime35 Questions
Exam 3: What Causes People to Commit Crimes37 Questions
Exam 4: The Police and Law Enforcement Its Come a Long Way48 Questions
Exam 5: Police Investigations in the Twenty-First Century42 Questions
Exam 6: An Introduction to Intelligence44 Questions
Exam 7: Intelligence and the Tactical Analyst32 Questions
Exam 8: Collecting Intelligence24 Questions
Exam 9: Data Mining and Analyzing Intelligence43 Questions
Exam 10: History and Types of Crime Analysis54 Questions
Exam 11: Tactical Crime Analysis53 Questions
Exam 12: Tactical Crime Analysis and Hot Spots55 Questions
Exam 13: Strategic Crime Analysis53 Questions
Exam 14: Understanding Threat Assessment Methodologies and the Role of the Crime Analyst56 Questions
Exam 15: Administrative Crime Analysis24 Questions
Exam 16: Operational Crime Analysis17 Questions
Exam 17: Crime Analysis and the Future of Policing30 Questions
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Data mining is the process of analyzing data from different perspectives and summarizing that into ______________.
(Multiple Choice)
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Entity extractions have been used to identify a person's addresses, vehicles and ______________.
(Multiple Choice)
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The difference between machine learning and data mining is that machine learning focuses on ______________, based on known properties learned from the training data.
(Multiple Choice)
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Statistical Analysis System (SAS) is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform ______________ on them.
(Multiple Choice)
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The artificial neural network (ANN) system for Classification of Offenders in Murder and Rape Cases project developed two software prototypes that demonstrate developed algorithms for ______________.
(Multiple Choice)
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The goal of data mining and association rules in crime data analysis is to identify and visualize associations among criminal networks
(True/False)
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By using data mining software, investigators can initiate database searches and link analyses that extract information describing ______________ between persons, events and other aspects of criminal activities.
(Multiple Choice)
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In knowledge discovery and data mining (KDD), the key task is the discovery of previously ______________ knowledge.
(Multiple Choice)
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Data mining is sometimes also called data discovery or ______________.
(Multiple Choice)
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A transaction processing system (TPS) supports the processing of a company's or organization's business transactions
(True/False)
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Both machine learning and data mining is similar in that both systems _______ through data to look for patterns.
(Multiple Choice)
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Association analysis can be used to address several problems, including predicting who is likely to commit certain crimes and ______________ .
(Multiple Choice)
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A transaction processing system (TPS) supports the processing of a company's or organization's ______________.
(Multiple Choice)
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The Computer-Aided Tracking Characterization of Homicides, called CATCH, and CATCHRAPE are software applications that analyze homicide data and sexual assault data
(True/False)
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Data mining systematically searches information to identify relationships and patterns
(True/False)
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Both CATCH and CATCHRAPE use advanced _______ to facilitate the comparison of crime data to find crimes that have similar patterns.
(Multiple Choice)
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A cluster is a subset of objects that are similar and Clustering is the process of grouping data into a set of ______________.
(Multiple Choice)
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Entity extraction identifies particular ______________ from data, such as text, images, or audio materials.
(Multiple Choice)
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