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View Code? Open in Web Editor NEWA fast data miner used for mining frequent itemsets. Uses a modification of the Apriori algoirthm called Perfect Hashing and Pruning (PHP).
A fast data miner used for mining frequent itemsets. Uses a modification of the Apriori algoirthm called Perfect Hashing and Pruning (PHP).
##README## This is a java application. To use, run Main.java within src with all other files in their appropriate places. You will be asked to give 3 inputs: The file containing the frequencies, the minimum support count, and the file containing the output. For the input and output, I recommend using .dat files as they are formatted well for the task. For output, I recommend using .txt . An example of an input would be T10I4D100K.dat and an output would be output.txt . Any java IDE environment should work, but IntelliJ is preferred. Refer to output.txt for a what the output would look like for T10I4D100K.dat NOTE: 3/4 When I was working on the c4.5 and Bayesian classifier assignment, I reused the reader class I made for this project and I noticed that it only reads from the T100k file! I fixed the Reader.java so it actually reads your input correctly now (this was a 1 line fix) in case this hasn't been tested yet!
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