Noise is known as a kind of mislabeled or errors seen in the values of attribute but outlier is known to be wider concept that is also made up of not only errors but discordant data that occurs due to natural variation inside a population.
<h3>What is outlier in data mining?</h3>
An Outlier is known to be a kind of data object that moves from the rest of the data objects and can work in different way.
Note that outliers can be interesting or say desirable, but noise is not.
Noise data can be seen as normal data and as such, noise objects are not always outliers.
Note also that outliers would not be classify as noise objects. Note that the source of noise in data can be random and as such can be seen as unusual.
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Answer:
The coal miner symbolizes the fossil fuel energy used to create electricity to power devices.
Explanation:
From the cartoon, the man looks satisfied that he is using his device but his perception of "green energy" is wrong because he feels that it does not use paper which is an animal fossil to use his device.
However, his mobile device is plugged in and the power source comes from the efforts of a human miner, so fossil fuel is in use and not from a green source which would be powered by natural sources.
<span>The term fracking<span>, according to the Merriam-Webster dictionary, means “a method used for getting oil and gas from underground rocks by injecting liquid into the rocks so that they break apart.” The correct term for fracking is “hydraulic fracturing.” I hope that this helps you :)</span></span>