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A Novel Design of Sophisticated Distributed Knowledge Extraction Process on Grid Architecture

Shahina Parveen M., G. Narsimha. Published in Distributed Systems.

Communications on Applied Electronics
Year of Publication: 2018
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Shahina Parveen M., G. Narsimha
10.5120/cae2018652740

Shahina Parveen M. and G Narsimha. A Novel Design of Sophisticated Distributed Knowledge Extraction Process on Grid Architecture. Communications on Applied Electronics 7(12):12-19, January 2018. BibTeX

@article{10.5120/cae2018652740,
	author = {Shahina Parveen M. and G. Narsimha},
	title = {A Novel Design of Sophisticated Distributed Knowledge Extraction Process on Grid Architecture},
	journal = {Communications on Applied Electronics},
	issue_date = {January 2018},
	volume = {7},
	number = {12},
	month = {Jan},
	year = {2018},
	issn = {2394-4714},
	pages = {12-19},
	numpages = {8},
	url = {http://www.caeaccess.org/archives/volume7/number12/794-2018652740},
	doi = {10.5120/cae2018652740},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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.

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  36. AUTHOR’S DETAIL
  37. Shahina Parveen Mhas worked as Assistant Professor , Department of ISE, BhageerathiBai Narayan Rao Manay Institute of Technology, Bangalore. She has got 9 years of teaching experience. She has obtained Bachelor of Engineering from JNT University in the year 2005. She studied Masters of Technology from ANU, Guntur, AP and was awarded in the year 2010. Now she is a Ph.D student in the dept of CSE at JNT University, Hyderabad, India. She has published many papers in both national and international conferences.
  38. Dr. G. Narsimha is working as professor at JNTUH, Karim Nagar, Telangana, India. He has completed his B.E in ECE at Osmaniya University, Hyderabad and obtained Master degree in CS&E in 1999 at Osmaniya University. He has awarded doctrate in CS&E Osmaniya University Hyderbad, India in July 2009. He has about 17years of teaching experience. He has published 70 papers in both national & international conferences followed by 38 interanational and nation journals. 7 PhD are awarded and 11 research schcolar are working under him. He is life member of indian society for technical education (MISTE), MIEEE.

Keywords

Analytics, Data Mining, Distributed, Grid Computing, Knowledge Discovery, Data Complexity