I can’t see the scenarios bro
There are pros and cons to using special characters in email subject lines. Generally, marketers report higher open rates.
Some report better engagement, but many don’t.
There are also reports of special characters causing problems with deliverability, mostly because spammers became very fond of special characters for a while.
<em>hoping</em><em> that</em><em> </em><em>it </em><em>was </em><em>helpful</em><em> to</em><em> </em><em>you</em>
<em>plz </em><em>mark </em><em>me </em><em>as </em><em>brainlist</em><em> answer</em>
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.
