ABSTRACT
Big Data is used to manage the data due to their large size and complexity, because it can't be handled with the traditional methods and the current technology or tools used for that. Big Data mining is populated with 5 V's volume, variability, velocity, variety, value which has the ability of retrieving important information from the huge data storage. Now the challenge of Big Data is becoming the opportunities of research for the next few years. Throughout the world researchers and developers are trying to make use of the Big Data technology to extend the ICT applications from the traditional LAN, WAN environment to Internet on cloud with Big Data. In this scenario this paper provides and an overview of some of the ICT applications which take advantage of data mining and analytics for big data. The paper tries to establish the wide range of applications of big data in ICT with the currently available data mining & data analytics platforms, languages and tools. An effort has been made to analyze the challenges faced in the different application fields. Some of the advances in the Big Data technology research that can help solve some of these challenges in ICT applications have been discussed in brief.
- Fan, W., Bifet, W. 2013 "Mining big data:Current Status, and forecast to the Future", SIGKDD Explor. Newsl., vol. 14, no. 2, p. 1--5. Google ScholarDigital Library
- http://www.etltools.net/etl-tools-comparison.html, retrieved on 14.11.2014Google Scholar
- Han, J., Kamber, M. and Pei., J. 2012 Data Mining concept and Techniques, Elsevier. Google ScholarDigital Library
- Shobana. V, Maheshwari. S, Savithri. M 2015. Study on Big data with Data Mining, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 4.Google Scholar
- Lin, J., Ryaboy, D., 2013 Scaling Big Data Mining Infrastructure: The Twitter Experience, SIGKDD Explorations Volume 14, Issue 2, pp 6--19 Google ScholarDigital Library
- Sun, Y., Han, J. 2012 Mining Heterogeneous Information Networks: A Structural Analysis Approach, SIGKDD Explorations Volume 14, Issue 2, pp 20--28. Google ScholarDigital Library
- Kang, U., Faloutsos, C. 2012, Big Graph Mining: Algorithms and discoveries, SIGKDD Explorations Volume 14, Issue 2, pp 29--36. Google ScholarDigital Library
- Amatriain, X. 2012 Mining Large Streams of User Data for Personalized Recommendations, SIGKDD Explorations Volume 14, Issue 2, pp 37--48. Google ScholarDigital Library
- Sahoo, A. K., Sahoo K. S., and Tiwari, M. 2014 GPU based Parsing and Searching of XML Document for Multimedia data using MapReduce Approach, IEEE CALCON, KolkataGoogle Scholar
- Sahoo, A. K., Sahoo K. S., and Tiwari, M. 2014 Signature based Malware Detection for Unstructured Data in Hadoop, published in IEEE sponsored conference ICCDAC, Bangalore.Google Scholar
- Panigrahi, C.R., Tiwari, M, Pati, B. and Prasath, R. 2014 Malware Detection in Big Data Using Fast Pattern Matching: A Hadoop based Comparison on GPU published in MIKE Ireland, published in springer lncsGoogle Scholar
- Jaseena K.U., Julie M. David, 2014 Issues, challenges, and solutions:big data mining: NeTCoM, CSIT, GRAPH-HOC, SPTM - pp. 131--140.Google Scholar
- The role of big data for ICT monitoring and for development measuring the Information Society Report 2014 pp-173--212Google Scholar
- Sin, K., Muthu, L. 2015 Application of big data in education data mining and learning analytics -- a literature review, ICTACT journal on soft computing, VOLUME: 05, ISSUE: 04, pp1035--1049Google Scholar
- Dennis A., Ludena R. and Ahrary, A. 2013 Big Data Approach in an ICT Agriculture Project, 2013 International Conference on Cyber-Enabled distributed Computing and Knowledge Discovery (CyberC), pp 261--264Google Scholar
- Ahrary, A., Dennis A. and Ludena R., 2013 Big Data approach to a novel nutrition-based vegetable production and distribution system, IEEE CYBERNETICSCOM, pp 131--135Google Scholar
- Kumar, S., Toshniwal, D. 2015A data mining framework to analyze road accident data journal of Big Data 2015, 2:26Google Scholar
- Qin, Y., Yalamanchili, H., Qin, J., Yan, B. and Wang, J. 2015. The Current Status and Challenges in Computational Analysis of Genomic Big Data. Big Data Research 2, 1, 12--18. Google ScholarDigital Library
- Ryan, T. and Lee, Y. 2015. Multi-Tier Resource Allocation for Data-Intensive Computing. Big Data Research 2, 3, 110--116. Google ScholarDigital Library
- http://www.predictiveanalyticstoday.com/bigdata-platforms-bigdata-analytics-software/Google Scholar
- Ravi, V. Advances in banking technology and management: Impact of ICT and CRM Institue for development and research in Banking technology. Google ScholarDigital Library
- Lee W. J., Lee., Y. J. and Kim., H. K. 2003 Discovering Temporal Relation Rules Mining from Interval Data EurAsia-ICT2002 Google ScholarDigital Library
- http://edtechreview.in/trends-insights/insights/959-advantages-of-using-ict-in-learning-teaching-processesGoogle Scholar
- Hara, N. 2008. Students' perspectives in a web-based distance education course.Google Scholar
- Mungania, P. (2003). The seven e-learning barriers facing employees:Google Scholar
- Muilenburg, L.Y. 2001. Barriers to distance education: A factor-analytic study. American Journal of Distance Education 15(2), 7--24.Google Scholar
- Saurabh, A. Ghogare,, P. and Monga M. 2015 "E-Agriculture" Introduction and Figuration of its Application, 2015 Volume 5, Issue 1, International Journal of Advanced Research in Computer Science and Software Engineering)Google Scholar
- Ludena, R.D.A.; Ahrary, A2013, "Big Data approach in an ICT Agriculture project,' in Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 International Joint Conference on, vol., no., pp. 261--265, 2-4 Nov. 2013.Google Scholar
- Ochiai, H.; Ishizuka, H.; Kawakami, Y.; Esaki, H., 2010 "A field experience on DTN-based sensor data gathering in agricultural scenarios," in Sensors, 2010 IEEE, vol., no., pp. 955--958, 1-4 Nov. 2010.Google Scholar
- Kristensen, M.D.; Bouvin, N.O., 2008 "Developing cyber foraging applications for portable devices," in Portable Information Devices, 7th IEEE Conference on Polymers and Adhesives in Microelectronics and Photonics. PORTABLE-POLYTRONIC 2008., vol., no., pp. 1--6, 17--20Google Scholar
- Using ICT to Improve Traffic Management VICTORIAN GOVERNMENT PRINTER June 2014 PP No 332, Session 2010-14)Google Scholar
- Park., S., Ha Y. 2014 "Large Imbalance Data Classification Based on MapReduce for Traffic Accident Prediction," in Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), Eighth International Conference on, vol., no., pp. 45--49, 2-4 July 2014 Google ScholarDigital Library
- Sarkar, S.; Chatterjee, S. and Misra, S. 2015 "Assessment of the Suitability of Fog Computing in the Context of Internet of Things," in Cloud Computing, IEEE Transactions on, vol.PP, No. 99, pp. 1--1Google Scholar
- Aledhari, M.; Saeed, F. 2015 "Design and Implementation of Network Transfer Protocol for Big Genomic Data," in Big Data (BigData Congress), 2015 IEEE International Congress on, vol., no., pp. 281--288, June 27 2015-July 2 2015 Google ScholarDigital Library
- Panigrahi, C. R., Tiwari, M., Pati., B. and Das, H. "Big Data and Cyber Foraging: Future Scope and Challenges, by Techniques and Environments for Big Data Analysis, visualized in SpringerLinkGoogle Scholar
- Big data and ICT applications: A study
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