Big Data In E-Governance Management

Authors

  • Saluja H Department of Electronics and Communication, Amity University, Lucknow, India
  • Asthana P Department of Electronics and Communication, Amity University, Lucknow, India
  • Mishra S Department of Electronics and Communication, Amity University, Lucknow, India
  • Kumar S Department of Electronics and Communication, Amity University, Lucknow, India
  • Hazela B Department of Electronics and Communication, Amity University, Lucknow, India

DOI:

https://doi.org/10.26438/ijcse/v6i12.321325

Keywords:

Big Data, Dynamic, Scslable, Data Silos, E-governance

Abstract

Large amount of data produced through humans, machines and automated system can be monitored for improving the efficiency of systems. This data can be real time monitored through Big Data analysis. Big Data could be structured, unstructured or semi-structured and is characterized by Volume, Velocity, Variety, Veracity and Value. The data is novel, dynamic, and scalable. Data analysis performed on Big Data can be highly useful in E-governance. This paper explores the five ways in which big data is characterized, methods of its classification, Big data management and its role in effective implementation of e-governance like education, health care, revenue etc., where huge amount of data is generated. This data is useful in understanding the factors that can be monitored and analyzed for improvement and betterment of current policies initiated by government.

References

[1] Big Data: Characteristics, Challenges and Data Mining, International Journal of Computer Applications (0975-8887); International Conference on Advances in Information Technology and Management ICAIM-2016s.

[2] Introduction to Big Data, Ilkay Altinas, www.coursera.com.

[3] Hiba Jasim Hadi, Ammar Hameed Shnain, Sarah Hadishaheed, Azizahbt Haji Ahmad,’ BIG DATA AND FIVE V’S CHARACTERISTICS’, International Journal of Advances in Electronics and Computer Science, ISSN: 2393-2835, Volume-2, Issue-1, Jan.-2015

[4] Walunj Swapnil K., Yadav Anil H., Sonu Gupta,’ Big Data: Characteristics, Challenges and Data Mining’, International Journal of Computer Applications (0975 – 8887)-2016.

[5] Motashim Rasool, Wasim Khan, Big Data: Study in Structured and Unstructured Data, International Journal of Technology Innovations and Research (IJTIR).

[6] K.Arun Dr.L.Jabasheela ‘Big Data: Review, Classification and Analysis Survey’, International Journal of Innovative Research in Information Security, ISSN: 2349-7017 Volume 1 Issue September 2014.

[7] Praful Koturwar,SheetalGirase, Debajyoti Mukhopadhyay ‘A Survey of Classification Techniques in the Area of Big Data’,

[8] YongjunPiao, Hyun Woo Park, Cheng Hao Jin, Keun Ho Ryu, “Ensemble Method for Classification of High-Dimensional Data,” 978-1-4799-3919-0/14, 2014, IEEE.

[9] Sindhujaa N , Vanitha C N , Subaira A S ,’ An Improved Version of Big Data Classification and Clustering using Graph Search Technique’, International Journal of Computer Science and Mobile Computing, Vol. 5, Issue.2, February 2016, pg.224 – 229.

[10] Managing Big Data. An interview with David Gorbet ODBMS Industry WatchJuly2012http://www.odbms.org/blog/2012/07/managin 2, g-big-data-an interview-with-david-gorbet

[11] Bakshi, K., 2012. Considerations for big data: Architecture and approach. In: 2012

IEEE Aerospace Conference, Big SkyMontana. pp. 1-7.

[12] Agneeswaran, V., 2012. Big-data - Theoretical, engineering and analytics perspective. In: Srinivasa, S., Bhatnagar, V. (Eds.), Big Data Analytics. Vol. 7678 of Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp. 8-15.

[13] Andrzej Chluski, Leszek Ziora ‘The role of Big Data Solutions in the management of organizations, review of selected practical examples’, International Conference on Communication, Management and Information Technology (ICCMIT, 2015).

[14] Schmarzo B.Big Data: Understanding how data powers businesses‘, Wiley 2013.

[15] Gerard George, Martine R.

Haas,Alex Pentland, ‘Big Data and Management’, Academy of Management Journal 2014, Vol. 57.

[16] Preet Navdeep, Dr. Manish Arora, Dr. Neeraj Sharma,’ Role of Big Data Analytics in Analyzing e-Governance Projects’ GIAN JYOTI E-JOURNAL, Volume 6, Issue 2 (Apr-Jun 2016) ISSN 250-348X

[17] Rajagopalan M.R, Solaimurugan vellaipandiyan,’ Big Data Framework for National e-Governance Plan’ , Eleventh International Conference on ICT and Knowledge Engineering-2013.

[18] Department of Electronics and informstion technologies India, http://deity.gov.in/content/national-e- governanceplan.

[19] Aapka Aaadhaar, Unique identity & address in India. http://uidai.gov.in/.

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Published

2018-12-31
CITATION
DOI: 10.26438/ijcse/v6i12.321325
Published: 2018-12-31

How to Cite

[1]
H. Saluja, P. Asthana, S. Mishra, S. Kumar, and B. Hazela, “Big Data In E-Governance Management”, Int. J. Comp. Sci. Eng., vol. 6, no. 12, pp. 321–325, Dec. 2018.

Issue

Vol. 6 No. 12 (2018): IJCSE December Editor

Section

Research Article

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