Deck 9: Data Mining and Analyzing Intelligence

Question 1

Data mining is sometimes referred to as data discovery

Answer 1

True

Question 2

Data mining is the process of analyzing data from different perspectives and summarizing them into useful information.

Answer 2

True

Question 3

Data mining tells us about very small and simple data sets.

Answer 3

False

Question 4

Information Technology has to do with the use of computers to load software

Question 5

Information technology, over the past two decades, been evolving into separate transaction and analytical systems

Question 6

A transaction processing system (TPS) supports the processing of a company's or organization's business transactions

Question 7

TPSs keep an organization running smoothly by only automating the processing of payroll checks.

Question 8

Data mining systematically searches information to identify relationships and patterns

Question 9

Several types of analytical software systems are currently available for use in the criminal justice system

Question 10

A machine learning method called "Series Finder" was designed to assist the police in discovering crime series

Question 11

An algorithm includes a finite number of steps to solve any given problem

Question 12

The algorithm used in Series Finder tries to identify the blood type of the offender.

Question 13

The Computer-Aided Tracking Characterization of Homicides, called CATCH, and CATCHRAPE are software applications that analyze homicide data and sexual assault data

Question 14

There are four types of relationships sought by analysts; these include Entity extractions, Clusters, Associations and Sequential patterns

Question 15

The goal of data mining and association rules in crime data analysis is to identify and visualize associations among criminal networks

Question 16

Data mining is sometimes also called data discovery or ______________.

A) Knowledge discovery
B) Encyclopedia knowledge
C) Book learning
D) Sequence building

Question 17

Data mining is the process of analyzing data from different perspectives and summarizing that into ______________.

A) Miscellaneous data
B) Useless information
C) Useful information
D) Information for the media

Question 18

For criminal justice, Information Technology is the use of any computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange _______.

A) All forms of electronic data
B) Secret information
C) Underground details of crimes
D) Information useful to big businesses

Question 19

A transaction processing system (TPS) supports the processing of a company's or organization's ______________.

A) Stock tips
B) Email messages
C) Donations
D) Business transactions

Question 20

Computer-based TPSs are often considered the _______ of the management information system application.

A) Icing on the cake
B) Bread and butter
C) Cherry on the top
D) Fluffy dessert

Question 21

Although data mining has been used effectively in private industry for a number of years, law enforcement has ______________ in the application of this technology.

A) Led the way
B) Far and away better
C) Trailed
D) Superior

Question 22

To explore the use of data mining within criminal justice, data mining software analyzes _______ in stored transaction data.

A) This and that
B) Court costs
C) MOs of sex offenders
D) Relationships and patterns

Question 23

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.

A) The DNA
B) Criminal intents
C) Relationships
D) Forensics

Question 24

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.

A) Simple tests
B) Statistical analysis
C) Fancy calculations
D) Word searches

Question 25

Machine learning is a type of _______ that provides computers with the ability to learn without being explicitly programmed.

A) Robot function
B) Advanced manufacturing
C) Artificial intelligence
D) Easy-to-use intelligence

Question 26

Both machine learning and data mining is similar in that both systems _______ through data to look for patterns.

A) Search
B) Scroll
C) Slowly pick through
D) Look carefully

Question 27

The difference between machine learning and data mining is that machine learning focuses on ______________, based on known properties learned from the training data.

A) Simple crimes
B) Identity theft
C) Future knowledge
D) Prediction

Question 28

In knowledge discovery and data mining (KDD), the key task is the discovery of previously ______________ knowledge.

A) Known
B) Unknown
C) Unknowable
D) Discovered

Question 29

A machine learning method called "Series Finder" was designed to assist the police in _______.

A) Figuring out how to find corrupt cops
B) Discovering crime series
C) Learning about new non-lethal weapons
D) Finding patterns of shoplifting

Question 30

An artificial neural network (ANN) is a computing system made up of a number of simple, highly interconnected ______________.

A) Processing elements
B) Neural pathways
C) Blood vessels
D) Electrical wires

Question 31

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 ______________.

A) Helping the police track individual criminals
B) Analyzing and comparing large databases of crime data
C) Comparing business models
D) Analyzing neighborhood crimes

Question 32

The Computer-Aided Tracking and Characterization of Homicides (CATCH) and CATCHRAPE software applications analyze ______________ .

A) Home break ins and the theft of TVs
B) Shoplifting and petty theft
C) Homicide data and sexual assault data
D) Robberies and simple assaults

Question 33

Both CATCH and CATCHRAPE use advanced _______ to facilitate the comparison of crime data to find crimes that have similar patterns.

A) Algorithms
B) Math concepts
C) Artificial Intelligence
D) Physics

Question 34

Generally, any of four types of relationships are sought by analysts; these are Entity extractions, Clusters, Associations and ______________.

A) Forensics
B) Traditional detective work
C) Fast thinking
D) Sequential patterns

Question 35

Entity extraction identifies particular ______________ from data, such as text, images, or audio materials.

A) Clues
B) Patterns
C) Algorithms
D) Criminal types

Question 36

Entity extractions have been used to identify a person's addresses, vehicles and ______________.

A) Political preferences
B) Sexual orientation
C) Credit cards owned
D) Personal characteristics

Question 37

Software such as EntityCube and Rosette Entry Extractor (REX) automatically mine from billions of web pages to _______ entity information and detect relationships.

A) Extract
B) Discard
C) Ignore
D) Erase

Question 38

A cluster is a subset of objects that are similar and Clustering is the process of grouping data into a set of ______________.

A) Irrelevant data
B) Meaningless categories
C) Statistical predictions
D) Meaningful subclasses called clusters

Question 39

A cluster is a _______ of crimes or people or other kinds of data that are similar and may represent a geographical region, a hot spot of crime, or a possible crime pattern.

A) Cadre
B) Russian organization
C) Group
D) Mob

Question 40

In data mining, association rules are useful for analyzing and ______________customer behaviour.

A) Predicting
B) Classifying
C) Reporting
D) Disregarding

Question 41

Association analysis can be used to address several problems, including predicting who is likely to commit certain crimes and ______________ .

A) When they have hidden past crimes
B) When these crimes might take place
C) Where they will live in the future
D) How they will cover their tracks

Question 42

Sequential pattern mining is a data mining approach that is concerned with finding statistically ______________ between data examples where the values are delivered in a sequence.

A) Significant misinformation
B) Relevant patterns
C) Irrelevant patterns
D) Insignificant information

Question 43

In criminal justice, frequent sequence mining could help determine the ______________ between certain types of crimes and the sequence of criminal offenses by offenders involved in certain kinds of offenses.

A) Jet lag
B) Lack of time lag
C) Interval
D) Surveillance time