Unlike static data, data stream is transient and can usually be read only once. So, traditional NSP mining algorithm cannot be directly applied to data stream. Briefly, the key reasons are: (1) ...

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine ...

Sequences, DNA sequences, and meteorological data are examples of sequential data. In other words sequential we can term video data, audio data, and images up to some extent as sequential data. Below ...

a comparison of sequential vs parallel group-by data processing. Writing “loops” is a common coding/programming practice. A loop is a process for iterating and repeating a block of code. Such a ...

This paper presents an extract-transform-load (ETL) approach based on multilayer task execution for processing massive sequential data collected from infrastructure operation and maintenance. The ...

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.. For more ...

For larger n, exhaustive sampling of the design space is challenging, but our data show more than 6,400 simple sc-graphs for n = 5. Hence, sc-graphs are more numerous and varied than P-graphs. ...