Event Suggestion based on Association Rule Mining in PHP |
Author(s): |
| Vikas Yadav , Veermata Jijabai Technological Institute; Chetan Kunghadkar, Veermata Jijabai Technological Institute; Suraj Bandichode, Veermata Jijabai Technological Institute |
Keywords: |
| Association Rule Mining, Event Suggestion, Apriori Algorithm |
Abstract |
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Association rule mining provides some meaningful rules, which is difficult to identify just by looking at the database. It has variety of applications in fields such as education, market basket analysis and Marketing. We have used association rule mining which uses apriori algorithm, on our database to generate rules which can be used to suggest technical events to the user. There are portals which help user find out and subscribe to various events but they don’t generally suggest events to a user based on other user’s interest. We propose to develop a web application portal in php, on which user can create events, register for events and get suggestions for events. Our proposed system will mainly work in following Steps: 1) Creating events 2) User registers for the events 3) User gets suggestion while searching for the events. |
Other Details |
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Paper ID: IJSRDV4I20974 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 581-584 |
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