A Survey on Accessing Data over Cloud Environment using Data mining Algorithms

A, Selvaraj and B, Prasanalakshmi A Survey on Accessing Data over Cloud Environment using Data mining Algorithms. Indian Journal of Emerging Electronics in Computer Communications, 2015, vol. 2, n. 3. [Journal article (Unpaginated)]

[img] Text
2V2I2498505.pdf - Published version
Available under License Creative Commons Attribution No Derivatives.
Download (407kB)
Alternative locations: http://www.scientistlink.com

English abstract

Accessing large set of data is more complex in today’s world because the data may be structured or unstructured like in the form of text, images, videos, etc. It cannot be controlled by the internet users. This is known as Big data. Useful data can be accessed through extracting it from big data with the help of data mining algorithms. Data mining is a technique to determine the patterns; classify the data, and clustering it from the large sets of data. Te present paper discusses how large sets of data can be accessed through data mining algorithms over cloud environment.

Item type: Journal article (Unpaginated)
Keywords: cloud, data mining , big data, map reduce
Subjects: L. Information technology and library technology
L. Information technology and library technology > LN. Data base management systems.
Depositing user: Dr BP Lakshmi
Date deposited: 18 Apr 2016 11:52
Last modified: 18 Apr 2016 11:52
URI: http://hdl.handle.net/10760/29197

References

Arya, S. D. Mount, D. Netanyahu, N. Silverman, R. Wu, “An Optimal Algorithm for Approximate Nearest Neighbor Searching in Fixed Dimensions, ” Proc. Fifth Symp. Discrete Algorithm (SODA), 1994, pp. 573-582

Beckmann, H. -P. Kriegal, R. Schneider, and B. Seeger, “The R* Tree: An Efficient and Robust Access Method for Points and Rectangles,” Proc. ACM SIGMOD, May 1990

Bharti Thakur, Manish Mann,Data Mining for Big Data : A Review International Journal of Advanced Research in Computer Science and Software Engineering ,Volume 4, Issue 5, May 2014

Chanchal yadav, shuliang wang, manoj kumar, Algorithm and approaches to handle large data- A survey, International Journal of Computer Science and Network, Vol 2, Issue 3, 2013 ISSN

Juan Li, Data mining using clouds: An Experimental Implementation of Apriori over Mapreduce, International Conference on scalable computing and communication ,December 2012

Lawrence 0. Hall, Nitesh Chawla , Kevin W. Bowyer, “Decision Tree Learning on Very Large Data Sets”, IEEE, Oct 1998

Lijuan Zhou, Hui Wang,Wenbo Wang, Parallel Implementation of Classification Algorithms Based on Cloud Computing Environment,Indonaesian Journal of Electrical Engineering ,Vol.10,No.5, September 2012

Nappinna lakshmi,N.Revathi: Data Mining over large datasets using Hadoop in cloud environment, International Journal of Computer Science & Communication Netwoks, Vol3(2)

Patil, D V. Bichkar, R. S.“A Hybrid Evolutionary Approach To Construct Optimal Decision Trees with Large Data Sets”, IEEE, 2006

S.P.Prasanth,P.G.Kathiravan: Optimized Data Transmission from cloud to society by Mapreduce International Jounal of innovative Research in Computer and CommunicationEngineering , Vol.2, Special Issue 1, March 2014

Sasiniveda, G N.Revathi, Data Analysis using Mapper and Reducer with optimal configuration in Hadoop, International Journal of Computer Trends and Technology, volume4Issue3- 2013

Viki Patil, Prof. V. B. Nikam, ,Study of Data Mining algorithm in cloud computingusingMapReduceFramework.Journal of Engineering, Computers & Applied Sciences (JEC&AS) Volume 2, No.7, July 2013 ,

Wei Dai and Wei Ji ,A MapReduce Implementation of C4.5 Decision Tree Algorithm International Journal of Database Theory and Application Vol.7, No.1 (2014), pp.49-60

Yen-ling Lu, chin-shyurng fahn, “Hierarchical Artificial Neural Networks For Recognizing High Similar Large Data Sets. ”, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, August 2007

Zeba Qureshi,Jaya Bansal,Sanjav Bansal :A Survey on Associatin Rulw Mining in Cloud Computing , International Journal of Emerging Technology and Advanced Engineering , Volume 3, Issue 4, April 2013

Zhiwei Fu, Fannie Mae, “A Computational Study of Using Genetic Algorithms to Develop Intelligent Decision Trees”, Proceedings of the 2001 IEEE congress on evolutionary computation, 2001.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS