Abstract
Computational Intelligence helps to answer the existent challenges of machine learning and Big Data. When we address about handling the data which is huge and variable, then comes various problems which may be single or multiobjective or static or dynamic in nature. Smart transportation is one such task where it has a lot of information to be handled and stored. It requires an efficient means to perform multiple tasks, and this should be done with utmost care and accuracy. Hence, a data mining algorithm with Hadoop MapReduce techniques can be used to perform the traffic regulation with accuracy and dynamically. There is a set of work done on executing a variety of algorithms in handling Big Data analytics and computational intelligence approaches. In this paper, we will highlight the characteristics of various algorithms so far those are capable of handling Big Data analytics.
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References
Amini S, Gerostathopoulos I, Prehofer C (2017) Big data analytics for real-time traffic control. IEEE, p 10
Chen W et al (2015) Big data for social transportation. IEEE, p 6
Gadekar H, Bhosale S, Devendra P (2014) A review paper on big data and hadoop
Minnelli M, Dhiraj A, Chambers M (2013) Big data and big data analytics. s.l.: Willey and Sons Inc
Yu T et al (2015) Swarm intelligence optimization algorithms and their application. AISeL, pp 200–207
Cheng S et al (2013) Swarm intelligence in big data analytics. Springer, Berlin, pp 417–426
Mitchel T (1997) Machine learning . s.l.: McGraw-Hill
Rittinghouse JW, Ransome JF (2009) Cloud computing, a practical approach. s.l.: McGraw-Hill Osborne Media
Khan S, Shakil KA, Alam M (2015) Cloud-based big data analytics—a survey of current research and future directions. arXiv
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Reddy, D.V.S., Mehta, R.V.K. (2019). Study on Computational Intelligence Approaches and Big Data Analytics in Smart Transportation System. In: Soft Computing and Medical Bioinformatics. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-13-0059-2_11
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DOI: https://doi.org/10.1007/978-981-13-0059-2_11
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