This paper is published in Volume-7, Issue-1, 2021
Area
Computer Science And Engineering
Author
Jyotsna Ramakant Surale
Org/Univ
Maharastra Institute of Technology, Aurangabad, Maharashtra, India
Keywords
Parallel implementation, Parallel apriori mining algorithm, Data mining, Association rules, Apriori mining algorithm.
Citations
IEEE
Jyotsna Ramakant Surale. Dynamic request redirection for mining system services under Heterogeneous Distributed System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Jyotsna Ramakant Surale (2021). Dynamic request redirection for mining system services under Heterogeneous Distributed System. International Journal of Advance Research, Ideas and Innovations in Technology, 7(1) www.IJARIIT.com.
MLA
Jyotsna Ramakant Surale. "Dynamic request redirection for mining system services under Heterogeneous Distributed System." International Journal of Advance Research, Ideas and Innovations in Technology 7.1 (2021). www.IJARIIT.com.
Jyotsna Ramakant Surale. Dynamic request redirection for mining system services under Heterogeneous Distributed System, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Jyotsna Ramakant Surale (2021). Dynamic request redirection for mining system services under Heterogeneous Distributed System. International Journal of Advance Research, Ideas and Innovations in Technology, 7(1) www.IJARIIT.com.
MLA
Jyotsna Ramakant Surale. "Dynamic request redirection for mining system services under Heterogeneous Distributed System." International Journal of Advance Research, Ideas and Innovations in Technology 7.1 (2021). www.IJARIIT.com.
Abstract
Generating the common patterns in transactional the database Apriori mining algorithm deemed among the most significant. Apriori mining algorithm is an association concept mining masterstroke algorithm. Enhanced possibility of the many-core processors allows one to update the algorithms and the applications in order to achieve the computing power from many-core sources, which finds sets of a regular item are higher in terms of machine usage and power of CPU. The simultaneous frequency item sets mining algorithms to provide the direction to resolve the problem of the distribution of candidates between processors.