Abstract
Big data is a term used for management of large, unstructured and complex data. It is used to organize data such that it is easy to read and understand. In today’s world of digitization, it becomes important to track the growth and evolution of data mining techniques. This paper makes an effort in this direction as thorough and in-depth study has been carried out of several mining techniques. Also to show the effectiveness of data mining techniques, simulation has been carried out of the real-time dataset in MongoDB.
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Seth, S., Johari, R. (2019). Statistical Survey of Data Mining Techniques: A Walk-Through Approach Using MongoDB. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-13-2354-6_17
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DOI: https://doi.org/10.1007/978-981-13-2354-6_17
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Online ISBN: 978-981-13-2354-6
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