Titlebook: Data Mining: Foundations and Intelligent Paradigms; VOLUME 2: Statistica Dawn E. Holmes,Lakhmi C. Jain Book 2012 Springer-Verlag Berlin Hei

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https://doi.org/10.1057/9781137331175relationship with the existing state-of-the-art unsupervised learning models. However, as a new and developing technology, there are still many interesting open issues remained unsolved and waiting for research from theoretical and algorithmic perspectives.

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Views from the Neighbourhood: Israelhere patterns are refined. The approach is illustrated with application to the medical, law enforcement and security domains. The medical application is concerned with discovering breast cancer diagnostic rules (i) interactively with a radiologist, (ii) analytically with data mining algorithms, and

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Data Mining with Multilayer Perceptrons and Support Vector Machines,s are the most popular neural network type, consisting on a feedforward network of processing neurons that are grouped into layers and connected by weighted links. On the other hand, SVM transforms the input variables into a high dimensional feature space and then finds the best hyperplane that mode

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