Describe the steps involved in data mining or data analytics when viewed as a process of knowledge discovery.

1. Data Cleaning

2. Data Integration

3. Data Selection

4. Data transformation

5. Data Mining

6. Pattern Evaluation

7. Knowledge presentation

Explanation:

The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:

Step 1. Data cleaning: this involves the elimination of inconsistent data.

Step 2. Data integration: this involves the combination of data from multiple sources.

Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.

Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.

Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.

Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.

Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.

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