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I have to implement FP-growth algorithm using any language. The code should be a serial code with no recursion. Is it possible to implement such algorithm without recursion? I am not looking for code, I just need an explanation of how to do it.
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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.
FP-Growth (frequent-pattern growth) algorithm is a classical algorithm in association rules mining. But the FP-Growth algorithm in mining needs two times to scan database, which reduces the efficiency of algorithm.
Apriori is a Join-Based algorithm and FP-Growth is Tree-Based algorithm for frequent itemset mining or frequent pattern mining for market basket analysis. In the era of data science and machine learning, various machine learning concepts are used to make things easier and profitable.
Association Rule(Apriori and FP-Growth Algorithms) with Practical Implementation. In this chapter, we will discuss Association Rule (Apriori and FP-Growth Algorithms) which is an unsupervised Machine Learning Algorithm and mostly used in data mining.
FPGrowth is a recursive algorithm. Like some other people said here, you can always transform an algorithm into a non recursive algorithm by using a stack. But I don't see any good reasons to do that for FPGrowth.
By the way, if you want a Java implementation of FPGrowth and other frequent pattern mining algorithms such as Apriori, HMine, Eclat, etc., you can check my website. I have implemented more than 40 algorithms for frequent pattern mining, association rule mining, etc.:
http://www.philippe-fournier-viger.com/spmf/
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