KDD Process Steps

Question 1

What are the steps in KDD process? (1st)

Answer 1

Data Cleaning:

Question 2

What is Data Cleaning?

Answer 2

Removal of noisy and irrelevant data from datasets

• Cleaning in case of Missing values.
• Cleaning noisy data, where noise is a random or variance error.
• Cleaning with Data discrepancy detection and Data transformation tools.

Question 3

What are the steps in KDD process? (2nd)

Answer 3

Data Integration

Question 4

What are the steps in KDD process? (3rd)

Answer 4

Data Selection

Question 5

What are the steps in KDD process? (4th)

Answer 5

Data Transformation

Question 6

What are the steps in KDD process? (5th)

Answer 6

Data Mining

Question 7

What are the steps in KDD process? (6th)

Answer 7

Pattern Evaluation

Question 8

What are the steps in KDD process? (7th)

Answer 8

Knowledge representation or Data Visualisation

Question 9

What is Data Integration?

Answer 9

heterogeneous data from multiple sources combined in a common source (DataWarehouse).

Question 10

What does Data Integration consist of?

Answer 10

1. Data Migration tools
2. Data Synchronization tools
3. ETL(Extract-Transform-Load) process

Question 11

What is Data Selection?

Answer 11

The process where data relevant to the analysis is decided and retrieved from the data collection

Question 12

What does Data selection uses?

Answer 12

1. Neural network.
2. Decision Trees.
3. Naive bayes.
4. Clustering, Regression, etc.

Question 13

What is Data Transformation?

Answer 13

The process of transforming data into appropriate form required by mining procedure.

Question 14

What are the Data Transformation process consist of?

Answer 14

Data Mapping: Assigning elements from source base to destination to capture transformations.

Code generation: Creation of the actual transformation program.

Question 15

What is Data Mining?

Answer 15

Clever techniques that are applied to extract patterns potentially useful.
- Extraction of interesting potentially useful patterns
or knowledge from huge amount of data

Question 16

What does data mining do?

Answer 16

1. Transforms task relevant data into patterns.

2. Decides purpose of model using classification or characterization.

Question 17

What is Pattern Evaluation?

Answer 17

Identifying strictly increasing patterns representing knowledge based on given measures.

Question 18

What does Pattern Evaluation do?

Answer 18

1. Find interestingness score of each pattern.

2. Uses summarization and Visualization to make data understandable by user.

Question 19

What is Knowledge representation?

Answer 19

It is a technique which utilizes visualization tools to represent data mining results.

Question 20

How does knowledge representation work?

Answer 20

1. Generate reports
2. Generate tables
3. Generate discriminant rules, classification rules, characterization rules, etc

Question 21

Additional Information

Answer 21

1. KDD is an iterative process where evaluation measures can be enhanced, mining can be refined, new data can be integrated and transformed in order to get different and more appropriate results.
2. Preprocessing of databases consists of Data cleaning and Data Integration.