Information Acquisition Utilizing Parallel Rough Set and MapReduce from Big Information

Sachin Jadhav, Shubhangi Suryawanshi

Abstract: The volumes of information developing at a remarkable rate and enormous information mining and learning revelation have turn into another test. Unpleasant set hypothesis for information securing has been effectively connected in information mining. The as of late presented MapReduce procedure has gotten much consideration from both academic group and industry for its appropriateness in huge information examination. To mine information from enormous information and present parallel rough set based strategies for learning securing utilizing MapReduce.

Keywords: Big Data, Big Data Analytics, Knowledge Acquisition, MapReduce, Rough Sets