DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Technique
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Knowledge to be mined
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Application
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Data
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Implementation
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Detailed explanation-1: -Data Characterization − This refers to summarizing data of class under study. This class under study is called as Target Class. Data Discrimination − It refers to the mapping or classification of a class with some predefined group or class.
Detailed explanation-2: -Data characterization is a summarization of the general characteristics or features of a target class of data. The data corresponding to the user-specified class are typically collected by a query.
Detailed explanation-3: -Classification is a supervised learning approach where a specific label is provided to the machine to classify new observations. Here the machine needs proper testing and training for the label verification. Clustering is an unsupervised learning approach where grouping is done on similarities basis.