Types of problem suited to big data analysis. (2)

 


Classification Problems

Classification problems are those where data are distributed in different groups or categories. For example, in mail, the classification can be as spam or not spam. Data analytics software evaluates the message itself, the author, and several other conditions to take the right decisions. To provide an alternative illustration, the banks identify transactions as either fake or real to act against hackers. The purpose is to make the process of distinguishing more automatic and to raise the level of productivity. With the help of big data, companies can process a vast amount of data in a short time, keeping their systems up and running, and ensuring that the users are not affected by unwanted behaviors and viruses.

One of the primary goals of Classification is to demonstrate and exemplify how the Decision-making process can be automated, and hence lead to greater productivity. As such, by utilizing pop data instead, the organization can manage millions of cases easily and everyday so that they can be able to sustain the operation of the systems without any interference, and consequently, give users the best services that they want and need.

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