|Communications on Applied Electronics
|Foundation of Computer Science (FCS), NY, USA
|Volume 7 - Number 12
|Year of Publication: 2018
|Authors: Shahina Parveen M., G. Narsimha
Shahina Parveen M., G. Narsimha . A Novel Design of Sophisticated Distributed Knowledge Extraction Process on Grid Architecture. Communications on Applied Electronics. 7, 12 ( Jan 2018), 12-19. DOI=10.5120/cae2018652740
With the rising demands of ubiquitous applications, the complexities associated with the data are exponentially increasing. Although, such massively generated complex data doesn’t pose much challenge in storage system, but it definitely strikes a challenging problem in order to perform mining. The process of discovering the valuable knowledge becomes much challenging if a distributed architecture of grid network is considered. Therefore, the proposed system introduces a novel architecture that is capable of performing error-free distributed mining over grid networks. The significant contribution of proposed system is to apply a novel and cost effective optimization technique for simplifying the data structurization problem in distributed system that is found to normalize the existing data complexity problems. The study outcome exhibits significantly low errors and minimal computational cost in presence of peak traffic condition to prove that proposed architecture offers better mining approach in contrast to existing approaches.