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.
(A) the same, by applying styles the same formats are being applied each time.
Answer:
When Agile is truly implemented in a project team, it empowers them with unparalleled flexibility. Teams work in smaller bursts and are supplemented by the constant feedback and involvement of the product owner. In other project management methodologies, changes usually are time-consuming and costly
Answer:
yes / true
Explanation:
it is one of the factors in determining the speed of the microprocessor
Ans:- Using Background Styles button present in Background group on the Design tab.
