Date of Award
2012
Publisher
North Dakota State University
Document Type
Master's Paper
Degree Awarded
Master of Science (MS)
Program
Software Engineering
Department
Computer Science
College
Engineering
Faculty Advisor
Li, Juan
Description
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.
Recommended Citation
Roy, Pallavi, "Mining Association Rules in Cloud" (2012). Computer Science. 260.
https://digitalcommons.ndsu.edu/computer-sci/260
Rights
NDSU Policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Handle Identifier
https://hdl.handle.net/10365/21748