Effective Information Retrieval Approach based on Parallel Matrix Method and MapReduce Framework
I Govindharaj, D. Saravanan, R. Vaishali Lavanya, P. Dhivya, R. Jansi Rani, K. Prem Kumar · 2015
The Information technology is developing rapidly, large amount of database and huge data has made a tremendous challenge in data mining. As a result, the amounts of data missing and unstructured information are increasing at an unprecedented rate. In the existing system, MapReduce supports efficient analysis of large amount of data and can process complete information. The rough set theory is also an efficient process used for generation of set of decision rules in data set. By these techniques only structured information's can be processed from a data set and fails to process incomplete information. To overcome this shortcoming, we have proposed a combinatory method of MapReduce and Opinion Mining algorithm. The combinatory algorithm is used to process large-scale unstructured data into structured data.