Types of problem suited to big data analysis. (4)

 


Anomaly Detection Problems

Anomaly detection is about looking for things that may be out of place or unexpected in the data, which don't resemble the standard pattern. To illustrate, banks apply big data in fraud detection; if a fraudulent transaction occurs, it will usually be a sudden big purchase in a foreign country, for instance. Equally, factories, watch over their equipment to be sure that there are no unusual vibrations or temperatures that can be the indication of a problem before it gets to the point of breaking down.

Diagnosing anomalies is significant as they are often the rare events that serve to reveal errors, fraud, or issues of safety. Big data, on the other hand, aid in this matter by very quickly going through an enormous amount of information and identifying the irregular spots so that the businesses can be in a position to solve the problem immediately and not let it get worse.

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