Analysis of Big Data Tools and Algorithms

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2020 by IJCTT Journal
Volume-68 Issue-6
Year of Publication : 2020
Authors : Kundan Kumar, Dr. Franklin Valcin
  10.14445/22312803/IJCTT-V68I6P101

MLA

MLA Style: Kundan Kumar, Dr. Franklin Valcin  "Analysis of Big Data Tools and Algorithms" International Journal of Computer Trends and Technology 68.6 (2020):1-9.

APA Style Kundan Kumar, Dr. Franklin Valcin. Analysis of Big Data Tools and Algorithms  International Journal of Computer Trends and Technology, 68(6),1-9.

Abstract
At present social networks are becoming more popular and increased use of people all over the world. This social network generates big data which different in nature. To manage those big data of social network different algorithms and big data model are used. This paper will explore and analyze the big data tools and algorithms in order to know their advantages and drawback.

Reference
[1] Shuntaro Hitomi, Keiro Muro “Social Innovation through Utilization of Big Data”, Hitachi Review Vol 62, No 7, pp 384 – 388, 2013.
[2] Carson K. Leung, Hao Zhang, S “Management of Distributed Big Data for Social Networks”, IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, pp 639 – 648, 2016.
[3] Li Jun Tao, Liu Yin Hong, Hao Yan, “The Improvement and Application of a K-Means Clustering Algorithm”, IEEE International Conference on Cloud Computing and Big Data Analysis, pp 93 – 96, 2016.
[4] Smt. Shashi Rekha .H., Dr. Chetana Prakash , Smt. Kavitha G. ,“Understanding Trust and Privacy of Big Data in Social Networks: A Brief Review”, 3rd International Conference on Eco-friendly Computing and Communication Systems, IEEE Computer Society,pp 138 – 143, 2014.
[5] Xinhua Dong, Ruixuan Li, Heng He, Wanwan Zhou, Zhengyuan Xue, and Hao Wu, “Secure Sensitive Data Sharing on a Big Data Platform”, TSINGHUA SCIENCE AND TECHNOLOGY, vol 20, No 1, pp 72 – 80, 2015.
[6] SHUI YU, “Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data”, IEEE Access, pp 2751 – 2763, 2016.
[7] Duygu Sinanc Terzi, Ramazan Terzi, Seref Sagiroglu, “A Survey on Security and Privacy Issues in Big Data”, 10th International Conference for Internet Technology and Secured Transactions, pp 202 – 207, 2015.
[8] Robin J. Wilson, “Introduction to Graph Theory”, Fourth Edition, Addison Wesley Longman Limited, ISBN 0-582-24993-7, 1996
[9] Ankush Verma, Ashish Huassin Mansuri, Dr. Neelesh Jain, “Big Data management Processing with Hadoop MapReduce and Saprk Technology:A Comparision” IEEE Symposium on Colossal Data Analysis and Networking (CDAN), 2016
[10] Dr. Siddaraju, C.L. Sowmya, K.Rashmi and M. Rahul, “Efficient Analysis of Big Data using map Reduce Framework”, International Journal of Recent Development in Engineering and Technology, Vol. 2 June 2014.
[11] Jimmy Lin and Chris Dyer “Data-Intensive Text Processing with Map-Reduce”, P.18-38, April 2010
[12] Donald Miner and Adam Shook, “MapReduce Design Patterns”, P 2-6
[13] Amol Bansod, “Efficient Big Data Analysis with Apache Spark in HDFS”, IJEAT, Vol.4, August 2015
[14] Edureka Blog - https://www.edureka.co/blog/spark-architecture/ accessed on 18/04/2020
[15] Kundan Kumar,Benson Murimi, Ishimwe Romalice "IoT Based Farmers’ Smart Technology, Case Study: Rwanda Meteorology Agency, Kayonza District" International Journal of Computer Trends and Technology 67.9 (2019):1-6.

Keywords
analysis, big data model, and algorithms