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WorksheetsData mining quiz no 1
Total questions: 50
Worksheet time: 50mins
Which is not a property of data warehouse?
subject oriented
time variant
collection from heterogeneous sources
volatile
data warehousing used in_______________
transaction system
decision support system
data warehouse is based on_____________
two dimensional model
three dimensional model
multidimensional model
unidirectional model
What is a subset of the data warehouse that is designed for a particular line of business?
Data Structure
Schema
Data Mart
Objects
Which among the two is the modern approach that handles all the transformation in warehouse?
ETL
ELT
multidimensional model of data warehouse called as__
data structure
table
data cube
tree
1. ____________ is the process of the discovering useful patterns and trends in large data set.
Data Mining
Data cleaning
Data processing
Data warehouse
a data warehouse can include
flat-files
database table
online data
all
The full form of OLAP is
Online Analytical Processing
Online Advanced Processing
Online Advanced Preparation
Online Analytical Performance
The process of viewing the cross-tab (Single dimensional) with a fixed value of one attribute is
Slicing
Dicing
Pivoting
Both Slicing and Dicing
On what is data warehouse based?
1 D Model
2 D Model
3 D Model
Multidimensional Model
Identify the term used to define the multidimensional model of the data warehouse
Table
Tree
Data Cube
Data Structure
Who is the father of data warehousing?
Ralph Kimball
Bill Inmon
Barry Devlin
None of the above
What is another name for data mining?
Information Retrieval Method
Big Data Analysis
Knowledge Discovery in Data
Data Extraction Technique
What is the process of finding potentially useful patterns from huge data sets called?
Data Extraction
Data Interpretation
Data Analysis
Data Mining
Which technique is used to remove noise and inconsistent data in the data cleaning process?
Clustering
Regression
Outlier Detection
Binning
What is the goal of data selection in data mining?
To introduce noise into the dataset
To remove all irrelevant data
To increase the dataset size
To ensure the dataset is representative and manageable
What is the main responsibility of the Pattern Evaluation Modules in data mining architecture?
Pattern Evaluation
Data Integration
Knowledge Presentation
Data Cleaning
What is the main challenge related to handling and processing large volumes of data in data mining?
Data Scalability
Data Uncertainty
Data Noise
Data Diversity
What is the social impact of data mining known as when users are unaware of data collection?
Privacy-Preserving Data Mining
Invisible Data Mining
Ethical Data Mining
User Interaction Data Mining
Which data mining technique is used to predict future trends based on historical data?
Classification
Clustering
Regression
Association
What is the term for the process of extracting useful information from text data?
Text Analysis
Text Mining
Text Extraction
Text Interpretation
Which data mining technique is used to find patterns that occur together in a dataset?
Classification
Clustering
Regression
Association
What is the primary goal of data preprocessing in the data mining process?
To increase data complexity
To reduce data redundancy
To improve data quality
To decrease data volume
Which data mining technique is used to group similar data points together?
Classification
Clustering
Regression
Association
What is the term for the process of analyzing data to extract meaningful insights?
Data Exploration
Data Scrutiny
Data Examination
Data Inspection
What is the primary purpose of data preprocessing in data mining?
To transform raw data into an understandable format
To analyze data patterns
To visualize data
To store data in databases
Which of the following is NOT a measure of data quality?
Complexity
Completeness
Accuracy
Timeliness
What technique is used to handle missing values in data?
Data integration
Data transformation
Data cleaning
Data reduction
Which algorithm is widely used for finding frequent itemsets in a dataset?
Support Vector Machine
Decision Tree
Apriori
K-Means
What does the term 'support' refer to in association rule mining?
The strength of the association
The likelihood of an item being purchased
The percentage of transactions containing an item
The total number of items in a dataset
Which of the following is a disadvantage of the Apriori algorithm?
Flexibility
Ease of implementation
High memory usage
Simplicity
What is the purpose of market basket analysis?
To identify products that frequently co-occur in transactions
To analyze customer demographics
To optimize supply chain logistics
To evaluate employee performance
Which method is used in FP-Growth algorithm to represent frequent itemsets?
Hash Table
K-D Tree
FP-tree
Decision Tree
What does normalization in data transformation aim to achieve?
To integrate multiple data sources
To reduce data volume
To scale data within a specified range
To eliminate duplicates
Which of the following is an example of a positive correlation?
As temperature increases, ice cream sales decrease
As price increases, demand decreases
As study time increases, exam scores increase
As age increases, physical activity decreases
What is the main goal of data mining?
To extract useful information from large datasets
To store data securely
To visualize data trends
To clean data for analysis
Which of the following techniques is commonly used for data visualization?
Regression Analysis
Clustering
Bar Charts
Data Warehousing
What does the term 'overfitting' refer to in machine learning?
When a model performs well on training data but poorly on unseen data
When a model is too simple to capture the underlying trend
When a model is trained on too little data
When a model is unable to learn from the data
What is the purpose of clustering in data analysis?
To group similar data points together
To predict future trends
To reduce data dimensionality
To visualize data distributions
Which of the following is a common technique for dimensionality reduction?
Principal Component Analysis (PCA)
Linear Regression
Support Vector Machines
Random Forest
What is the purpose of feature selection in machine learning?
To reduce the number of input variables
To increase the model complexity
To visualize data relationships
To enhance data storage
Which of the following is a common method for evaluating the performance of a classification model?
Confusion Matrix
Data Normalization
Data Integration
Data Transformation
What does the term 'bias' refer to in the context of machine learning?
The error due to overly simplistic assumptions in the learning algorithm
The error due to noise in the training data
The error due to insufficient training data
The error due to model complexity
Which of the following methods is used for association rule mining?
Random Forest
Apriori Algorithm
Neural Networks
Support Vector Machines
What is the main objective of data cleaning in data mining?
To remove inaccuracies and inconsistencies in data
To visualize data trends
To store data efficiently
To analyze data patterns
