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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It mines all frequent patterns through pruning rules with lesser support
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It mines all frequent patterns through pruning rules with higher support
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It mines all frequent patterns by constructing a FP tree
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All of the above
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Detailed explanation-1: -FP-growth is an improved version of the Apriori Algorithm which is widely used for frequent pattern mining(AKA Association Rule Mining). It is used as an analytical process that finds frequent patterns or associations from data sets.
Detailed explanation-2: -What is FP Growth Algorithm? The FP-Growth Algorithm is an alternative way to find frequent item sets without using candidate generations, thus improving performance. For so much, it uses a divide-and-conquer strategy.
Detailed explanation-3: -Frequent Pattern Growth Algorithm is the method of finding frequent patterns without candidate generation. It constructs an FP Tree rather than using the generate and test strategy of Apriori. The focus of the FP Growth algorithm is on fragmenting the paths of the items and mining frequent patterns.
Detailed explanation-4: -It expands the original database to build FP trees.