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2 years ago

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

Computers and Technology

1 answer:

Aleksandr [31]2 years ago

6 0

Answer:

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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Sonja [21]

Answer:

Explanation:

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JulijaS [17]

I believe your answer would be:

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3: Acquire a new IP address. Do this by typing "ipconfig /renew" into the command prompt window and pressing Enter. This should assign the computer a new IP address, which will be different from the previous address.

4: Cycle your modem's power. If the above steps don't work, you can try renewing your IP address by cycling your modem's power. Turn off both your computer and your modem (and your router, if you have one). Wait at least 5 minutes, then turn everything back on. If your computer is set to receive an IP address dynamically (the most likely configuration), you should be assigned a new IP address automatically.

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Hope I helped, if so may I get brainliest and a thanks?

Thank you, Have a good day! =)

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