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This is an implementation of MS GSP algorithm with multiple minimum supports that is used for mining sequential patterns

Python 100.00%

data-mining-ms-gsp-algorithm's Introduction

Implementation of MS GSP Algorithm

MS-GSP is an extension of GSP algorithm which can support multiple minimum supports that is used for Sequential Pattern Mining.

-- Implemented in Python 3.6

-- MSGSP.py is the main file that contains all the code -- data.txt is the input file that has all the transaction details -- para1.txt is the file containing the MIS values of each item and support difference constraint(SDC) value.

--Up on providing the Input (data.txt and para.txt) it generates all the possible length frequent item sequences in a text file as output.txt

References:

1.https://www.cs.uic.edu/~liub/WebMiningBook.html

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