A data structure perspective to the RDD-based Apriori algorithm on Spark

During the recent years, a number of efficient and scalable frequent itemset mining algorithms for big data analytics have been proposed by many researchers. Initially, MapReduce-based frequent itemset mining algorithms on Hadoop cluster were proposed. Although, Hadoop has been developed as a cluste...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of information technology (Singapore. Online) Ročník 14; číslo 3; s. 1585 - 1594
Hlavní autoři:	Singh, Pankaj, Singh, Sudhakar, Mishra, P. K., Garg, Rakhi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Nature Singapore 01.05.2022 Springer Nature B.V
Témata:	Algorithms Artificial Intelligence Big Data Clusters Computer Imaging Computer networks Computer Science Data mining Data structures Distributed processing Image Processing and Computer Vision Iterative algorithms Iterative methods Machine Learning Original Research Pattern Recognition and Graphics Software Engineering Vision Frequent itemset mining Big data analytics RDD Apriori Spark Parallel and distributed algorithms
ISSN:	2511-2104, 2511-2112
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!