Association Rule Mining of Intraday Stock Trading Using HADOOP and WEKA
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Many till date, Stock based association rule mining systems only focused on Interday association rule mining. But in this paper we propose and implement a system which analyses Intraday stock trading sessions and models it into an item transaction datasets using Hadoop based Map-Reduce framework. We thereby facilitate easy association rule mining using Weka classes on large intraday Stock trading session’s data.
Authors and Affiliations
Ms Rajeshwari. K. Gundla, Prof Mr R. V. Argiddi
Keywords
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- EP ID EP20340
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