
Data mining techniques
Presentation
•
Computers
•
10th Grade
•
Medium
Costas Pringipas
Used 5+ times
FREE Resource
85 Slides • 37 Questions
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Data mining techniques
by Costas Pringipas
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Multiple Choice
Discriminating between spam and correct email is a
Clustering
Segmentatiin
Classification
Regression
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Multiple Choice
______ are used in retail sales to identify patterns that are frequently purchased together.
Classification
Regression
Association
Clustering
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Multiple Choice
A college professor wishes to reach a certain level of savings before her retirement. This is related to which data mining task?
Clustering
Regression
Association
Classification
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Multiple Choice
A grocery store retailer is trying to decide whether to put bread on sale. This is related to which data mining task?
Association
Outlier analysis
Summarization
Prediction
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Multiple Choice
______ are used in retail sales to identify patterns that are frequently purchased together.
Classification
analysis
Association
Clustering
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Multiple Choice
Cluster is the collection of data objects which are similar to one another within the same group (class or category) and are different from the objects in the other clusters.
tr
false
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Unsupervised learning,
uses machine learning algorithms to analyze and cluster unlabeled datasets.
These algorithms discover hidden patterns or data groupings without the need for human intervention.
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unsupervised learning
Its ability to discover similarities and differences in information make it the ideal solution for
cross-selling strategies,
customer segmentation, and
image r_________n.
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supervised learning
the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
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supervised learning
It infers a function from labeled training data consisting of a set of training examples
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Multiple Choice
supervised learning
unsupervised learning
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Multiple Choice
what is this?
supervised learning
unsupervised learning
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Multiple Choice
Clustering is a data mining technique which groups labelled data based on their similarities or differences
true
false
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Multiple Choice
Cluster analysis is ...................
Unsupervised Learning
Supervised learning
Semi supervised learning
None of these
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Multiple Choice
What kind of learning algorithm for "Facial identities or facial expressions"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
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Multiple Choice
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Multiple Choice
What would make a robot intelligent?
It responds to the environment.
It responds to the environment according to previous experiences.
It calculates mathematical problems faster than human minds.
It can jump 1.5 meters higher than humans.
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Fill in the Blanks
Type answer...
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Multiple Choice
What is the correlation model of this Graph
Linear
Quadratic
Exponential
Logarithmic
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Multiple Choice
Linear regression is a statistical regression method which is used for
Predictive Analysis
Real Analysis
Complex Analysis
Functional Analysis
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Multiple Choice
You can use simple linear regression when you want to know:
How strong the relationship is between two variables (e.g. the relationship between rainfall and soil erosion).
true
false
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4 types of analytics
Descriptive, Diagnostic, Predictive, and Prescriptive.
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descriptive analytics
what happened?
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Multiple Choice
From the business perspective, what is the most important characteristic of Big Data?
Volume
Veracity
Velocity
Variety
Value
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Multiple Choice
Whether data can be trusted is an important issue of big data. What property of big data best describe the issue?
Volume
Veracity
Value
Variety
Velocity
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Multiple Choice
The technologies for gathering, storing, analyzing, and providing access to data to help make better business decisions refers to ....
Business Intelligence
Data Warehousing
Cloud Computing
Business Analytics
Internet of Things
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Multiple Choice
methodical exploration of an organization's data through statistical analysis
Business Process
Business Outsourcing
Business Management
Business Analytics
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Multiple Choice
Type of Business Analytics refers to "what happened?"
Prescriptive
Diagnostic
Descriptive
Predictive
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Multiple Choice
Understand reason behind happening some event.
Diagnostic
Predictive
Descriptive
Prescriptive
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Multiple Choice
What invention marked the "Industry 4.0." era.
Steam Engine
Electricity
ICT and Electronics
AI, Internet of Things, Big Data
Microcontroler
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Multiple Choice
Creating a model which can predict the user's future intention can be considered as an example of?
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Diagnostic Analytics
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Multiple Choice
Type of Analytics refer to future outcomes
Predictive
Prescriptive
Diagnostics
Descriptive
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Multiple Choice
Type of analytics tells "what should I do?"
Diagnostics
Descriptive
Predictive
Prescriptive
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Multiple Choice
"What should you do" represents ?
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
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Multiple Choice
Data analytics helps you analyze the data you have.
False
True
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Multiple Choice
"What happened" represents ?
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
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Multiple Choice
'Customer Segmentation Based on Which Segment would likely to purchase' represents
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
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Multiple Choice
'Making Decisions ' represents
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
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Multiple Choice
'Investigating the Reason for the Low income ' represents
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
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Multiple Choice
Type of Business Analytics refers to "what happened?"
Prescriptive
Diagnostic
Descriptive
Predictive
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Multiple Choice
Understand reason behind happening some event.
Diagnostic
Predictive
Descriptive
Prescriptive
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Multiple Choice
Type of Analytics refer to future outcomes
Predictive
Prescriptive
Diagnostics
Descriptive
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Multiple Choice
Type of analytics tells "what should I do?"
Diagnostics
Descriptive
Predictive
Prescriptive
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by Costas Pringipas
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