I++Mapreduce: Incremental Mapreduce for Mining the Big Data
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract: Data mining is an interdisciplinary area of computer engineering. Incremental processing is a challenging approach to refreshing mining results and it uses saved states to avoid the cost of re computation from damage. Here, I propose i2MapReduce is a novel incremental processing expansion to MapReduce in data mining. As compared with the state-of-the-art work on Incoop, instead of using task level re-computation the i 2MapReduce executes the key-value pair level incremental processing . It helps not only one-step computationbut also more sophisticated iterative computation. Then it incorporates a set of novel techniques to decrease input output level for accessing dedicated fine-grain computation states in the data mining. The final results on Amazon EC2 describe the significant performance development of i2MapReduce as compared to iterative and plain MapReduce performing re computation
Authors and Affiliations
Prof. Kanchan Dhomse B
Keywords
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