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Question
regression
6 regression is a popular data mining technique used by many groups.
regression looks closely at the relationship among multiple variables. analysts use this
data to predict certain trends, based on the presence of specific variables.
prediction
7 prediction uses past data to forecast what can be expected in the future data.
consequently, it is also known as forecasting.
8 companies who want to make decisions that will lead to their own success find
data mining useful. most people encounter the results of data mining in their daily lives.
for instance, through artificial intelligence and machine learning, products and services
are recommended to consumers. how many times have you seen a \you might like\ or
\because you watched\ message pop up on an amazon search or netflix profile?
these messages that often plague us are a result of data mining. companies are
constantly analyzing your interests, internet activity, and buying patterns to improve
their bottom line.
9 data mining does not just help businesses promote the purchase of their
products, though. certain service providers apply the \fruits of the data tree\ to retain
customers. have you ever received a promotional offer from your cable company
shortly after you considered switching services? if so, this could have been because
the analysis of your data helped companies predict the customer \churn.\ this is the
loss of customers who are using a product or service. to prevent customer churn,
companies use data mining to assign a probability score to each customer. then they
use this score to adjust their approach to these customers. using data mining,
what does the author imply though the use of the word plague in
paragraph 8?
that machine learning sends viruses to the computers of
consumers
that the recommendations made by artificial intelligence are
ineffective
that the use of artificial intelligence and machine learning is
dangerous
that the number of advertisements resulting from data mining
is overwhelming
The word "plague" implies something that is bothersome or overwhelming. In the context of the text, it refers to the frequent appearance of "You Might Like" or "Because You Watched" messages. These messages are a result of data mining. The key point is that the number of such advertisements (messages) is overwhelming.
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that the number of advertisements resulting from data mining is overwhelming