• Vishal Dholariya
• Asha Patel

The word Data mining is a broad branch of science that integrate techniques from all other branches like pattern recognize processing, statistics, databases, machine learning, deep learning and visualization to handle the problem of fetching the information from large amount of databases. FP Growth algorithm is a scalable technique for hiring frequent pattern in database. FP Growth improves Apriori Algorithm to a big extend. Frequent Itemset Mining is possible without candidate generation only “two scan” to the database is needed in FP-growth Algorithm. In this paper we present the frequent-pattern growth Algorithm peculiar method for multitude-targeted mining: finding the count of a given large list of itemsets in large data.

Data Mining, FP-Growth, FP-Growth Algorithm, Equipment set.

" Association Rules Analysis on Frequent Pattern-Growth Method in Predicting Sales of Equipments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.112-116, April-2019, Available :http://www.jetir.org/papers/JETIRAX06023.pdf

" Association Rules Analysis on Frequent Pattern-Growth Method in Predicting Sales of Equipments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp112-116, April-2019, Available at : http://www.jetir.org/papers/JETIRAX06023.pdf