An Algorithmic Survey on Distributed Data Mining: Algorithms and  Applications

Ms. Kajol Kathuria,Ms. Vimmi  Malhotra

An Algorithmic Survey on Distributed Data Mining: Algorithms and Applications

Authors

Ms. Kajol Kathuria,Ms. Vimmi Malhotra

Keywords:

Distributed Data Mining (DDM), Data Mining Algorithms, Big Data, Scalability, Parallel Processing, Algorithmic Survey, Knowledge Discovery, Data Distribution.

Abstract

The literature contains a variety of algorithms for mining sequential patterns, rare itemsets,and frequent itemsets in centralized systems. This is the distributedness era. Only a smallnumber of inefficient algorithms for mining

References

J. Han, J. Pei, Y. Yin. 2000: Mining frequent patterns without candidate generation, Proceedings 2000 ACM-SIGMOD International Conference on Management of Data (SIGMOD’ 00), Dallas, TX, USA.

Park J.S., Chen M.S. & Yu P.S. 1995 An effective hash-based algorithm for mining association rules, Proceedings of ACM SIGMOD International Conference on Management of Data, 24 (2), 175-186.

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Published

2024-06-25

How to Cite

Ms. Kajol Kathuria,Ms. Vimmi Malhotra. (2024). An Algorithmic Survey on Distributed Data Mining: Algorithms and Applications . Journal of Computational Analysis and Applications (JoCAAA), 33(06), 2132–2141. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3149