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.
Answer:
An employee literally swings from application to application to accomplish the laborious task of manually copying information from one application, validating it, and pasting it in another application. In applying human judgment and decision making: Entering data multiple times into different applications. Ensure that complex information obtained from an application is accurate. Communicate physicallly with a group of people simultaneously.
Explanation:
Answer: Internal disk drive is the main storage device located in a computer. It usually contains software applications, the operating system and other files.
Explanation:
def average_value_in_file(filename):
f = open(filename)
total = 0
count = 0
for x in f.read().splitlines():
total += int(x)
count += 1
return total/count
print(average_value_in_file("input.txt"))
I used an input file that looks like this:
1
1
1
1
<span>Normally you would click the right hand/secondary mouse button but you may configure any of the buttons to work within the Keyboard and Mouse section of System Preferences.</span>
