Pattern recognition occurs when an algorithm places iterations or regularities within large datasets or into different datasets. It is closely related to machine learning and data mining and is even considered synonymous. This visibility can help researchers discover insights or reach conclusions that might otherwise be ambiguous.
Comparative analysis means the comparison of two or more processes, document, dataset, or other objects. Pattern analysis, filtering, and decision tree analytics are types of comparative analysis.
Backpropagation is a fundamental algorithm used in the learning process of artificial neural networks. This algorithm allows neural networks to learn how to optimize the weights needed to solve a problem.
A data warehouse (often abbreviated as DW or DWH) is a centralized “data warehouse” capable of integrating a variety of sources. It provides a separate environment from operational systems.
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