Synthetic temporal database generator

This page describes the process to generate a synthetic temporal database.

Example

#import the algorithm
from PAMI.extras.syntheticDataGenerator import temporalDatabase as tempdb

#specify the parameters
databaseSize = 100000
numberOfItems = 2000
averageLengthOfTransaction = 10

probabilityToMissNextTimestamp = 0
#  0 (or 0%)     - regular temporal database with uniform time gap between the transactions
# <1 (or <100%)  - irregular temporal database with non-uniform time gaps between the transactions

probabilityOfRecurrenceOfTimestampInNextTransaction = 20
# 0 (or 0%)  - every transaction will have a different timestamp
# 1 (or 100%) - every transaction will have the same timestamp

#initialize the algorithm
alg = tempdb.temporalDatabase(databaseSize, numberOfItems, \
                        averageLengthOfTransaction, \
                        probabilityToMissNextTimestamp,\
                        probabilityToMissNextTimestamp)

#execute the algorithm
alg.generate()

#save the generated data in a file
alg.save(fileName)