Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets.

Solution to a graph theory problem meeting a specific time complexity constraint. Developed in C++ using the breadth-first search algorithm. Created in December 2021 as part of the Design and Analysis ...

The goal of the CIFAR-10 benchmark is recast from the perspective of discovering light-weight as well as accurate solutions. Specifically, the image data, on which CIFAR-10 is based, requires multiple ...