Answer:
The answer is "Plug and play".
Explanation:
A switch with minimum debugging tools for log-and-play simplicity and also no IP address. The Unmanaged switches are cost-effective and also have limited power, and other choices are not correct, which can be described as follows:
- Fast Ethernet provides 10 to 100 Mbps speeds, that's why it is not correct.
- Gigabit provides bandwidth, which is up to 1 Gbps speed, and it is 10 times faster than Ethernet Fast, that's why it is wrong.
- The trunk provides the link design that's why it is not correct.
Answer:
They do research studies that help them to understand customers and what they want to buy.
Explanation:
Answer:
(Assuming Java)
public ArrayList diff(ArrayList list1, ArrayList list2) {
ArrayList<Integer> union = new ArrayList<>();
for (int element : list1) {
union.add(element);
}
for (int element : list2){
if (!union.contains(element)) {
union.add(element);
}
}
return union;
}
Explanation:
Create an ArrayList that has the union of list1 and list2.
First for loop copies all elements into the union array list.
Second for loop adds all elements that are not yet in the union arraylist to the union arraylist.
(Keep in mind that I assume that you mean a mathematical union, so no duplicates. If this is not what you mean, remove the if statement in the second for loop)
Answer: given in the explanation
Explanation:
Data mining is referred as an automated processing tool used for sorting and analyzing enormous data and information which indeed are ``aimed towards effectively identifying trends and patterns and establishing relationships to solve business problems and generate new opportunities. Furthermore data mining techniques also helps to predict what’s going to happen in the future and act accordingly to take benefit of forthcoming tendencies.
Data mining is applied to a variety of large-scale data-processing activities such as collecting, extracting, warehousing and analyzing data. It also includes decision-support applications and technologies such as business artificial intelligence and machine learning and is used in varied areas of business research such as product development, sales and marketing etc.
Data mining is for taking advantage of data to predict
;
- Mathematical algorithms, and, data are used for predictive analytics. One can capture information, and, use it to model sales pattern, trends, and, customer behaviour
- Data mining uses algorithms to extract, and, analyze information; discover hidden patterns
- It uses data patterns, and, is thus closely tied to machine learning
- Historical & current information is used to predict future trends
Data mining can be used for the following:
- Data mining in gas & oil operations - Mining data in gas & oil operations involves committing to key technologies, and, processes; and, embracing new ways of thinking & problem-solving. Firms can use exploratory data analysis, modelling techniques & model development; approaches to put models into production
- Big data - Performance computing & advanced analytics
- Magic Quadrant - Evaluate 16 vendors to identify the right ones
- Heavy reading, network analytics - Optimize network; evaluate network performance; provide targeted marketing; fine-tune capacity.
