Abstract: Systems, methods, and computer readable media for data augmentation are described. The system comprises a network device, a memory comprising a data augmentation model and a plurality of seed entries, and a processor in communication with the network device and the memory. The processor is configured to receive a candidate data item in a second data set, generate a candidate seed corresponding to the candidate data item, and determine a data feature, based on the data augmentation model, for the candidate seed. Additionally, the processor is configured to generate at least one matching seed in the plurality of seed entries, the at least one matching seed based on the data feature. The processor is further configured to augment the candidate data item with data corresponding to the at least one matching seed.

Abstract: The present disclosure generally relates to the field of data structures and in particular, a loop-aware footprint matrix data structure adapted for data process traversal. The proposed approach is directed to a computer-based analytic system and corresponding method that uses a specific data structure and processing thereof, in some embodiments, adapted to computationally estimate predictions of next events by first generating a data structure based on business process models obtained using process mining techniques, and then using the improved data structure for generating predictions, which can then be encapsulated in the form of computer instructions or machine instruction sets, having a specific sequence for execution.

Abstract: A platform for processing event traces to generate clusters of journey maps for an interactive user display. The clustering can be implemented using a genetic process. The clustering can be implemented using a distance measures. Other clustering techniques can be used. The platform can use the clustering results to generate interactive dynamic visualizations with interactive selectable portions. The platform can integrate processing mining and journey maps to generate interactive dynamic visualizations.

Abstract: A platform for processing event traces to generate clusters of journey maps for an interactive user display. The clustering can be implemented using a genetic process. The clustering can be implemented using a distance measures. Other clustering techniques can be used. The platform can use the clustering results to generate interactive dynamic visualizations with interactive selectable portions. The platform can integrate processing mining and journey maps to generate interactive dynamic visualizations.