INTRODUCTION TO DATA MINING
COMPREHENSIVE EXAM SCRIPT VERIFIED
QUESTIONS AND SOLUTIONS GRADED
APLUS
●● Following steps of Knowledge discovery
Answer: 1. Data cleaning: to remove noise and inconsistent data
2. Data integration: to combine multiple data sources
3. Data selection: to retrieve data from databases
4. Data transformation: to get data into forms appropriate for data
mining
5. Data mining: to extract data patterns
6. Pattern evaluation to identify interesting patterns
7. Knowledge presentation: to present mined knowledge to users
●● What is data mining?
Answer: Data mining is the process of automatically discovering useful
information in large data repositories
●● Data mining Tasks
Answer: Predictive Tasks
Descriptive Tasks
,●● Predictive Tasks
Answer: Objective of these tasks is to predict the value of a particular
attribute based on the value of other attributes
●● Descriptive tasks
Answer: Objective of these tasks is to derive patterns such as
correlations, trends, clusters, trajectories, and anomalies that summarize
the underlying relationships in data
●● Examples of Data mining tasks
Answer: Predictive tasks
Association tasks
Cluster analysis
Anomaly detection
●● Predictive modeling
Answer: Predictive modeling refers to the task of building a model for
the target variable as a function of explanatory variables
●● Example of Predictive modeling
Answer: A species of flower based on the characteristics of the flower
, Based on the categories of petal width and length the following rules can
be derived
- petal width low and petal length low implies a species Setosa
- petal width medium and petal length medium imples a species
Versicolour
●● Association analysis
Answer: Association analysis is used to discover patterns that describe
strongly associated features in the data
●● Example of Association analysis
Answer: Finding the items that are frequently bought together by the
customers
Based on the analysis of customer baskets the following rules can be
derived
- bread -> butter that suggests customer who buy bread also tend to buy
butter
●● Cluster Analysis
Answer: finds the groups of closely related observations such that
observations that belong to the same cluster are more similar to each
other that belong to other cluster.
●● Example of Cluster Analysis
COMPREHENSIVE EXAM SCRIPT VERIFIED
QUESTIONS AND SOLUTIONS GRADED
APLUS
●● Following steps of Knowledge discovery
Answer: 1. Data cleaning: to remove noise and inconsistent data
2. Data integration: to combine multiple data sources
3. Data selection: to retrieve data from databases
4. Data transformation: to get data into forms appropriate for data
mining
5. Data mining: to extract data patterns
6. Pattern evaluation to identify interesting patterns
7. Knowledge presentation: to present mined knowledge to users
●● What is data mining?
Answer: Data mining is the process of automatically discovering useful
information in large data repositories
●● Data mining Tasks
Answer: Predictive Tasks
Descriptive Tasks
,●● Predictive Tasks
Answer: Objective of these tasks is to predict the value of a particular
attribute based on the value of other attributes
●● Descriptive tasks
Answer: Objective of these tasks is to derive patterns such as
correlations, trends, clusters, trajectories, and anomalies that summarize
the underlying relationships in data
●● Examples of Data mining tasks
Answer: Predictive tasks
Association tasks
Cluster analysis
Anomaly detection
●● Predictive modeling
Answer: Predictive modeling refers to the task of building a model for
the target variable as a function of explanatory variables
●● Example of Predictive modeling
Answer: A species of flower based on the characteristics of the flower
, Based on the categories of petal width and length the following rules can
be derived
- petal width low and petal length low implies a species Setosa
- petal width medium and petal length medium imples a species
Versicolour
●● Association analysis
Answer: Association analysis is used to discover patterns that describe
strongly associated features in the data
●● Example of Association analysis
Answer: Finding the items that are frequently bought together by the
customers
Based on the analysis of customer baskets the following rules can be
derived
- bread -> butter that suggests customer who buy bread also tend to buy
butter
●● Cluster Analysis
Answer: finds the groups of closely related observations such that
observations that belong to the same cluster are more similar to each
other that belong to other cluster.
●● Example of Cluster Analysis
