Question: The support vector machine is a highly accurate classification method. However, SVM classifiers suffer from slow processing when training with a large set of data

The support vector machine is a highly accurate classification method. However, SVM classifiers suffer from slow processing when training with a large set of data tuples. Discuss how to overcome this difficulty and develop a scalable SVM algorithm for efficient SVM classification in large data sets.

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