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The paper proposed a fast distributed mining algorithm of maximum frequent itemsets based on cloud computing, namely, FDMMFI algorithm.

FDMMFI algorithm made nodes compute local maximum frequent itemsets by cloud computing, then the center node exchanged data with other nodes and combined, finally, global maximum frequent itemsets were gained by cloud computing. Communications in Computer and Information Science, vol 391.

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His research interests include association rules, classification, mining in incremental databases, distributed databases and privacy preserving in data mining.

Tuong Le received his BSc degree in Information Technology from University of Science, Vietnam National University, Ho Chi Minh City, Vietnam and MSc degree in Computer Science from University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam in 20 respectively.

The FP-Growth Algorithm, proposed by Han in , is an efficient and scalable method for mining the complete set of frequent patterns by pattern fragment growth, using an extended prefix-tree structure for storing compressed and crucial information about frequent patterns named frequent-pattern tree (FP-tree).

In his study, Han proved that his method outperforms other popular methods for mining frequent patterns, e.g. This chapter describes the algorithm and some variations and discuss features of the R language and strategies to implement the algorithm to be used in R.

However, building an FIL for a modified database requires a lot of time and memory.How long it takes to process data depends very much upon which algorithm you're using, and how you've implemented it. FP-growth is very clever, but seems to be really tricky to implement right and efficiently.Also, you could - if possible - write a short description about the structure and nature of the data you're processing. With a minimum support of 100, I need 15 seconds on this data set (using APRIORI from the ELKI development branch and a i7 core CPU), and minsupp=50 in 58 seconds. There also exist a myriad of variants, some are probabilistic and may be substantially faster.Below are the most common reasons: This site uses cookies to improve performance by remembering that you are logged in when you go from page to page.To provide access without cookies would require the site to create a new session for every page you visit, which slows the system down to an unacceptable level.

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