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Big-data-Credit-card-fraud-detection
COMP4103 Big Data project: Three prospective approaches are demonstrated for pre-processing large data sets in practical time-frames, that can attempt to address the class imbalance by improving the running time of the relevant SMOTE+ENN oversampling techniques, with the aim of improving or enabling classifier performance. The focus of our study was to implement a divide and conquer based implementation that leveraged clustering as a more intelligent division measure.
LP_Exercises
Linear Programming Snippets for COMP4041
ooqOO
Config files for my GitHub profile.
ooqOO's Repositories
ooqOO/Big-data-Credit-card-fraud-detection
COMP4103 Big Data project: Three prospective approaches are demonstrated for pre-processing large data sets in practical time-frames, that can attempt to address the class imbalance by improving the running time of the relevant SMOTE+ENN oversampling techniques, with the aim of improving or enabling classifier performance. The focus of our study was to implement a divide and conquer based implementation that leveraged clustering as a more intelligent division measure.
ooqOO/LP_Exercises
Linear Programming Snippets for COMP4041
ooqOO/ooqOO
Config files for my GitHub profile.