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Mining Association Rules in Cloud

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Roy, Pallavi
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Pallavi Roy (528.7Kb)
Abstract
The association rule mining was implemented in Hadoop. An association rule mining helps in finding relation between the items or item sets in the given data. The performance of the algorithm was evaluated by testing it in the cloud (EC2) by increasing the number of nodes in the testing set up. The association rules are developed on the basis of the frequent item set generated from the data. The frequent item set were generated following the Apriori algorithm. As the input data and number of distinct items in the data set is large, lots of space and memory is required, so Hadoop was used, as Hadoop provide parallel, scalable, robust framework in the distributed environment.
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http://hdl.handle.net/10365/21748
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Student Focused, Land Grant, Research Institution

  • Campus Map
    • Campus Map (pdf)
    • Building list
    • Campus Offices
  • Equity
  • Employment
  • Phone/Email Directory
  • Online Services
    • Blackboard
    • One Stop
    • Campus Connection
    • IT Help Desk
    • Libraries
    • Email
    • Student Success Collaborative
  • Registration And Records
    • Course Schedule
    • Dates and Deadlines
North Dakota State University - Libraries
Circulation: (701) 231-8888 | Reference: (701) 231-8886
Administration: (701) 231-8753
Main Library address: 1201 Albrecht Boulevard
Mailing address: Dept #2080 PO Box 6050, Fargo, ND 58108-6050
Site manager: Site manager
Contact Us | Send Feedback