1
What does the acronym KDD stand for in the field of data mining?
Correct AnswerA. Knowledge Discovery Database
☑ MCQ PRACTICE
Data Mining Unit 1
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
2
Identify an option among the following which is not involved in data preprocessing.
Correct AnswerC. Data Exploration
3
Which of the following is not a data mining function?
Correct AnswerD. Linear Programming
4
A smaller version of a data warehouse, focused on a department, is called
Correct AnswerA. Data Mart
5
Transactional data usually includes
Correct AnswerC. Timestamps and transaction IDs
6
Identify an option among the following which is not classified based on the type of knowledge mined.
Correct AnswerB. Machine Learning
7
What is the use of data cleaning?
Correct AnswerD. All of the above
8
Data Mining is also referred to as
Correct AnswerA. Knowledge Discovery
9
___________________ the process of converting raw data into a format that is suitable for mining.
Correct AnswerD. Data Transformation
10
In which step of Knowledge Discovery, multiple data sources are combined?
Correct AnswerB. Data Integration
11
In Data mining architecture, the core component is
Correct AnswerB. Data Mining Engine
12
__________ may be defined as the data objects that do not comply with the general behavior or model of the data available.
Correct AnswerA. Outlier Analysis
13
Which mining functionality focuses on future prediction?
Correct AnswerB. Predictive mining
14
Which of the following is not a data mining task?
Correct AnswerD. Linear Programming
15
Which method can be used for smoothing noisy data?
Correct AnswerD. All of the above
16
Which of the following is not a type of data preprocessing technique?
Correct AnswerD. Principal component analysis
17
Which of the following is NOT a data mining application?
Correct AnswerD. Data Backup
Fill in the Blanks
18
Classification is a _______ learning technique, while clustering is _______ learning.
AnswerSupervised (Predictive), Unsupervised (Descriptive)
19
________________ is a process of finding potentially useful patterns and valuable information from huge amount of data.
AnswerData Mining
20
__________________ is defined as the process where data relevant to the analysis is decided and retrieved from the data collection.
AnswerData Selection
21
______________________ is a data mining technique used to categorize the items into predefined classes or labels based on some predefined properties.
AnswerClassification
22
_______________________ module evaluates the discovered patterns to determine their usefulness and relevance.
AnswerPattern Evolution
23
_______________________ is defined as the process of transforming data into appropriate form required by mining procedure.
AnswerData Transformation
24
Removing duplicate records is a process called ___________________________
AnswerData Reduction
25
_______________________ evaluate the discovered patterns to determine their usefulness and relevance.
AnswerPattern Evaluation
26
____________________ is an essential process where intelligent methods are applied to extract useful patterns/knowledge.
AnswerData Mining
27
The data needs to be _____________________, __________________ and ________________ before passing it to the database or data warehouse server.
AnswerCleaned, Integrated, and Selected
28
The KDD process step that removes irrelevant and noisy data is __________________.
AnswerData Cleaning
29
When data that cannot be grouped in any of the class appears. That type of data is called as _____________________
AnswerOutliers
30
A data warehouse is usually modelled by a multidimensional data structure, called a __________________________
AnswerData Cube
31
Data on spatial databases are stored as ________________, ________________, __________________ and ________________.
AnswerCoordinates, Points, Lines and Polygons
32
_________________ aims to reduce dataset size while preserving important information.
AnswerData Reduction
33
In __________________ the Data Mining system will not utilize any function of data warehouse system or database.
AnswerNo Coupling
34
Classification uses methods like ___________________, ____________________ or _____________________ to predict a class or essentially classify a collection of items.
AnswerIF-THEN, Decision Trees or Neural Networks
35
The sequence of data point collected over time intervals is called as _________________.
AnswerTime Series Data
36
______________________ is one of the data mining functionalities that help the analyst find the missing numeric values.
AnswerPrediction