1. From Data Analysis to Data Mining

Question 1

What is the first step in the data mining process?

Answer 1

Data Collection -Gathering raw data from various sources.

Question 2

What is the purpose of Data Cleaning?

Answer 2

To remove noise and correct inconsistencies in the data.

Question 3

What does Data Integration involve?

Answer 3

Combining multiple data sources into a cohesive dataset.

Question 4

What is Data Selection?

Answer 4

Retrieving relevant data for analysis from databases.

Question 5

What is the goal of Data Transformation?

Answer 5

To modify and consolidate data into appropriate formats for analysis.

Question 6

What is Data Mining?

Answer 6

Applying intelligent methods to extract patterns from the data.

Question 7

What is Pattern Evaluation?

Answer 7

Identifying significant patterns that represent knowledge based on specific measures.

Question 8

What does Knowledge Presentation involve?

Answer 8

Using visualization and representation techniques to present the mined knowledge to users.

Question 9

What is the iterative nature of the data mining process?

Answer 9

It often requires revisiting previous steps for refinement.

Question 10

Why is domain knowledge important in data mining?

Answer 10

It helps in understanding the context and relevance of the data.

Question 11

What role does feature selection play in data mining?

Answer 11

It identifies the most relevant variables for analysis.

Question 12

What is the significance of data visualization in data mining?

Answer 12

It helps in interpreting complex data patterns and results.

Question 13

How does data mining contribute to decision-making?

Answer 13

By providing insights and patterns that inform strategic choices.

Question 14

What is the importance of model validation in data mining?

Answer 14

To ensure the accuracy and reliability of the extracted patterns.

Question 15

What is the final step in the data mining process?

Answer 15

Knowledge representation and communication of results to stakeholders.

Question 16

What is an interesting pattern?

Answer 16

A pattern is interesting if:
1. it is easily understood by humans;
2. valid on new or test data with some degree of certainty;
3. potential useful;
4. novel

or if it validates an hypothesis the user sought to confirm

An interesting pattern represents knowledge.

Question 17

Identify the Data Science’s Steps

Answer 17

1. Data Collection
2. Data Cleaning
3. Data Integration
4. Data Selection data relevant to the analysis
5. Data Transformation
6. Data Mining
7. Pattern evaluation
8. Knowledge presentation

Question 18

Name the main data mining tasks.

Answer 18

1- Anomaly Detection
2.Association Rule
3.Clustering
4.Classification
5.Regression
6. Summarization

Question 19

The quality of the data source is based on

Answer 19

1. Completeness
   2.Correctness
2. How relevant it is to the problem being solved

Question 20

Identify some Python Machine learning packages for data mining.

Answer 20

1. scikit-learn
2. kedro
3. TensorFlow
4. keras
5. PyTorch

Question 21

Correctness will depend on:

Answer 21

-Validity
-Accuracy
-Consistency
- Uniformity

Question 22

Transformations can be made through

Answer 22

Normalizing and Scaling
Encoding Categorical Variables
Discretization
Domain related transformations

Question 23

What to do if there are missing values?

Answer 23

1. Do nothing
2. Drop the missing values
   * Replace them by other values (mean, median, mode, interpolation)-> known as imputation.