Big Data : A New Era for Research
Sunil K Punjabi, Suvarna Kendre and Pranita Mahajan. Article: Big Data : A New Era for Research. IJCA Proceedings on International conference on Green Computing and Technology ICGCT(3):32-37, October 2013. Full text available. BibTeX
@article{key:article,
author = {Sunil K Punjabi and Suvarna Kendre and Pranita Mahajan},
title = {Article: Big Data : A New Era for Research},
journal = {IJCA Proceedings on International conference on Green Computing and Technology},
year = {2013},
volume = {ICGCT},
number = {3},
pages = {32-37},
month = {October},
note = {Full text available}
}
Abstract
Big data, a new way of managing and interacting with the massive data sets collected and stored by humans. The problem with the massive data collection and distribution systems is to manage this big data as large amount of data that is gathered from various domains of all sizes and types. Most of the captured data clutters lots of storage space because of which it has become a concern of individuals as awareness grows of breadth and depth of personal information being amazed in big data collection. Big data is a concern rather than precise term. In this paper we have discussed big data definitions with various aspects. Then followed by few case studies where in big data is being used. Smart-mall case study is discussed in detail in which customer behavior is analyzed to provide valuable feedback. Apart from that we have discussed issues such as fraud detections, loss of customers, customer behavior prediction etc.
References
- P. Barnaghi, W. Wang, C. Henson, and K. Taylor, Semantics for the Internet of Things: Early progress and back to the future, International Journal on Semantic web and Information Systems, vol. 8, no. 1, pp. 1-21, 2012.
- P. P. Talukdar, D. Wijaya and T. Mitchell. Coupled Temporal Scoping of relational facts. In Proceedings of the fifth ACM International Conference on Web Search and Data Mining (WSDM) , Seattle, Washington, USA, February 2012.
- P. Boldi, M. Rosa, and S. Vigna. HyperANF: approximating the neighbourhood function of very large graph on a budget. In Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011, pages 625 – 634, 2011.
- P. Gilbert, L. P. Cox, J. Jung, and D. Wetherall. Toward trustworthy mobile sensing. In Proc. Workshop on Mobile Computing System and Applications, 2010.
- 5. A and E. Brynjolfsson, Big Data: The Management Revolution. Harvard Business Review, 2012 90(10): p 59-68.
- C. Bokermann and H. Blom. The Streams Framework. Technical Report 5, TU Dortmund University 12, 2012.
- Big Data vint research report : Creating Clarity with Big Data [Online].
- Visualizing the Petabyte Age, Nov 2010. [Online], Available: http://www. techwhizz. com/visualizing-petabyte-age-inforgraph.
- http://www. oracle. com/technetwork.
- Apache Hadoop, http://hadoop. apache. org.
- Laura Wilber "A Practical Guide to Big Data: Opportunities, Challenges & Tools" 2012 Dassult Systems.
- A. Rajaraman, J. Leskovec, and J. D. Ullman, Mining of Massive Datasets, Cambridge University Press, 2010.
- J. Gama, Knowledge discovery from data streams Chapman & Hall/CRC 2010.
- http://www. alacergroup. com.