What is it about?
This paper illustrates in detail various hadoop map reduce one phase, two phase, k-phase algorithms and their merits and demerits.
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Why is it important?
Researchers working on platforms like hadoop map reduce, spark etc. may use this study as "Literature Review" for their reference.
Perspectives
One may reach to above document by URL https://www.tandfonline.com/doi/abs/10.1080/23270012.2017.1373261 Beyond this publication researchers may also refer publications like 1. Verma N, Singh J. An intelligent approach to Big Data analytics for sustainable retail environment using Apriori-MapReduce framework. Industrial Management & Data Systems, EMERALD 2017 Aug 14;117(7):1503-20. 2. Verma N, Singh J. Improved web mining for e-commerce website restructuring. InComputational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on 2015 Feb 13 (pp. 155-160). IEEE. 3. Malhotra D, Verma N, Rishi OP, Singh J. Intelligent Big Data Analytics: Adaptive E-Commerce Website Ranking Using Apriori Hadoop–BDAS-Based Cloud Framework. InMaximizing Business Performance and Efficiency Through Intelligent Systems 2017 (pp. 50-72). IGI Global. 4. Verma N, Malhotra D, Malhotra M, Singh J. E-commerce website ranking using semantic web mining and neural computing. Procedia Computer Science. 2015 Jan 1;45:42-51., ELSEVIER.
Dr. Neha Verma
Read the Original
This page is a summary of: A comprehensive review from sequential association computing to Hadoop-MapReduce parallel computing in a retail scenario, Journal of Management Analytics, October 2017, Taylor & Francis,
DOI: 10.1080/23270012.2017.1373261.
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