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    Two types of Classifiers mostly used in Data mining.

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    Other than Naive Bayes and decision trees, pick two other types of classifiers and discuss how they work and what are main characteristics/properties of these two types of classifiers.

    © BrainMass Inc. brainmass.com October 5, 2022, 2:16 am ad1c9bdddf
    https://brainmass.com/engineering/mining-engineering/two-types-classifiers-mostly-data-mining-468737

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    The two very famous classifiers are neural network classifiers and support vector machine classifiers.

    1) Classification is one of the most active research and application areas of neural networks. The literature is vast and growing. Many papers summarize the important developments in neural network (NN) classification research. Specifically, the issues of posterior probability estimation, the link between neural and conventional classifiers, learning and generalization tradeoff in classification, the feature variable selection, as well as the effect of misclassification costs are key research problems. Generally, a NN is used to train on the offline data and then it can be used for online classification. A simplified network is required for fast processing and overlearning should be avoided.

    2) SVMs (Support Vector Machines) are a useful technique for data classification. Although SVM is considered easier to use than Neural Networks, users not familiar with it often get unsatisfactory results at first. The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes forms the input, making the SVM a non-probabilistic binary linear classifier. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

    An example paper for comparison of two is:
    https://docs.google.com/viewer?a=v&q=cache:GXclO-D4J7oJ:www.cosy.sbg.ac.at/~uhl/ispa_converted.pdf+&hl=fr&pid=bl&srcid=ADGEESjzGSk1ZotqJgY8dnilaXgN7gQRfJLnXpqoxulA0loKpoPoTSfQz8YIs49c7DA8PjI5NbFSHUK17T036LutByTsS8wRFm_OZopEIWOURM9gaZsKC_LbJfow45UJTeYIIyn1meQE&sig=AHIEtbS-YyUOANfPuuJEAZTX9LwewfwDKA&pli=1

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    © BrainMass Inc. brainmass.com October 5, 2022, 2:16 am ad1c9bdddf>
    https://brainmass.com/engineering/mining-engineering/two-types-classifiers-mostly-data-mining-468737

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