DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Telephone company want to segment their customers into different groups.. this is an example of
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supervised learning
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data extraction
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unsupervised learning
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data extraction
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Explanation:
Detailed explanation-1: -The most commonly used unsupervised learning algorithms are: K-means clustering. Hierarchical clustering. Apriori algorithm.
Detailed explanation-2: -Customer Segmentation: Unsupervised Machine Learning Algorithms In Python.
Detailed explanation-3: -Customer segmentation by means of machine learning is a process of dividing a customer base into particular groups with similar characteristics. There are countless ways to segment customers. It can be done demographically or psychographically, sorting by: Age.
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