@article{(Open Science Index):https://publications.waset.org/pdf/10011643,
	  title     = {Association Rules Mining and NOSQL Oriented Document in Big Data},
	  author    = {Sarra Senhadji and  Imene Benzeguimi and  Zohra Yagoub},
	  country	= {},
	  institution	= {},
	  abstract     = {Big Data represents the recent technology of manipulating voluminous and unstructured data sets over multiple sources. Therefore, NOSQL appears to handle the problem of unstructured data. Association rules mining is one of the popular techniques of data mining to extract hidden relationship from transactional databases. The algorithm for finding association dependencies is well-solved with Map Reduce. The goal of our work is to reduce the time of generating of frequent itemsets by using Map Reduce and NOSQL database oriented document. A comparative study is given to evaluate the performances of our algorithm with the classical algorithm Apriori.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {14},
	  number    = {12},
	  year      = {2020},
	  pages     = {494 - 499},
	  ee        = {https://publications.waset.org/pdf/10011643},
	  url   	= {https://publications.waset.org/vol/168},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 168, 2020},
	}