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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TRUE
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FALSE
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Either A or B
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None of the above
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Detailed explanation-1: -Machine learning algorithms use statistical models to classify data. In the case of spam detection, a trained machine learning model must be able to determine whether the sequence of words found in an email are closer to those found in spam emails or safe ones.
Detailed explanation-2: -The most popular paradigm to detect spammers is the supervised classification-based approach. Support Vector Machines (SVM), Random forest and Artificial Neural Networks (ANNs) are among the most popular classification-based methods used for spam detection [2]. Classifiers often use OSN features for spam detection.
Detailed explanation-3: -Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.
Detailed explanation-4: -Explanation: supervised learning is a type of machine learning algorithm that is specifically designed to infer a model from labeled data.