Case Study: Graph Mining in YouTube’s Video Recommendation System

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 I’m sure all of us are familiar with the words data and information. They are often used interchangeably, but are they really the same? Not quite. Data refers to raw, unorganized facts — numbers, symbols, or text — that by themselves may not carry meaning. Information, on the other hand, i

s what we get after analyzing, processing, and organizing that data in a way that adds value. Data mining techniques help us convert raw data into useful information.

Graph mining is a subfield of data mining that is designed to extract useful information and discover patterns from relational or interconnected data. Graph mining specializes in handling graph structured data that has complex relationships between the entities. Now, lets Graph Mining through a case study of YouTube’s Video recommendation

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