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Yanka [14]
3 years ago
11

Compare the strengths and weakness of the traditional fraud detection techniques with the machine learning techniques for fraud

detection?
Business
1 answer:
scoundrel [369]3 years ago
6 0
The traditional methods when it comes to fraud detection has proven to be quite effective for a much longer period of time compared to the machine learning techniques. This is because it supervised by a trained individual. This means that that person is in charge of manually observing transactions in an effort to discover & apprehend fraudulent behavior. Its strength right now really relies on its longevity in its application.

But with the advent of technology, more and more data are available & transactions happen with every millisecond that passes. Add to that the fact that those who commit fraud have also gotten quite sophisticated in their methods. To be able to cope with the rising need for detecting fraud in real-time, machine learning techniques or unsupervised techniques have been proven to be more useful & more effective in detecting small anomalies within large data sets.
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Answer: a. When Dream Home Builders employs 11 ​workers, it can increase profits by__hiring___ workers

B.When Dream Home Builders employs 11 ​workers, it can increase profits by__13___ workers

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the number of workers employed to 14__workers

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3 0
3 years ago
Read 2 more answers
The returns of ABC Company and the market are listed below. Compute the beta for ABC Company stock (Hint: Think rise over run).
PilotLPTM [1.2K]

Beta = Covariance/Variance where: Covariance=A measure of an investment's return in relation to the market Variance is a measurement of how the market deviates from its mean.

Compute the beta for ABC Company stock ?

The standard deviation of returns for the asset could be divided by the standard deviation of returns for the benchmark to determine beta. The correlation between the security's returns and the benchmark's returns of 32.21 percent is multiplied to arrive at the final number.

Given that AAPL's beta of 0.6035 suggests the stock theoretically experiences 40 percent less volatility than SPY, AAPL would be regarded as being less volatile than SPY in this situation.

A stock with a beta greater than 1.0 fluctuates more than the market over time. A stock's beta is less than 1.0 if it moves less than the market. High-beta equities typically carry higher risks but also have a bigger potential reward. Although they carry less risk, low-beta equities often offer lesser returns.

Because of this, beta is frequently employed as a risk-reward ratio, which aids investors in deciding how much risk they are ready to accept in order to reap the potential rewards. It's crucial to take stock price volatility into account when determining risk. Beta is a useful proximate for risk if you view of risk as the likelihood that a stock would depreciate in value.

Beta = Covariance/Variance where: Covariance=A measure of an investment's return in relation to the market Variance is a measurement of how the market deviates from its mean.

Learn more about beta company stock here:

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4 0
2 years ago
On November 1, 2017, Austin Services issued $305,000 of five-year bonds with a stated rate of 12%. The bonds were issued at par,
sergiy2304 [10]

Answer:

$12,200

Explanation:

Calculation to determine the amount of interest expense was recorded for the period of January 1 to April 30, 2018

Interest expense=$305,000*12%*4/12

Interest expense=$12,200

Therefore the amount of interest expense was recorded for the period of January 1 to April 30, 2018 is $12,200

8 0
2 years ago
XYZ stock price and dividend history are as follows:
Sedbober [7]

This answer was deleted by a Brainly Staff Member for violating our Terms of Service.

7 0
2 years ago
In the 4e framework, dell understands the importance of _______, which leads to action, the potential for a relationship, and po
zheka24 [161]
The answer to this question is: engagement
In business terms, engagement refers to The emotional commitment that each employee has towards the company where they work.
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