Extraction of Classification Rules from Trained ANN for Multiclass Data

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Data Management
Format: PDF
In data mining classification rules are generated using some classification methods. One of the most common methods for rule generation is decision tree which refers supervised learning. After generating classification rules the authors can apply those rules on unknown data and reach to the results. Artificial neural network is one kind of network that has the ability to learn and thereby acquire knowledge and make it available for use. But ANN gives results of only trained data. Unseen samples can be classified by ANN but nobody can understand how that classification was made.
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