Titlebook: Intelligent Data Mining in Law Enforcement Analytics; New Neural Networks Massimo Buscema,William J. Tastle Book 2013 Springer Science+Bus

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Preprocessing Tools for Nonlinear Datasets,systems show a high ability for empowerment of standard ANN model performance when used for prediction/classification problems with complex datasets characterized by nonlinear relations between the variables. Training and testing systems are robust data resampling techniques that are able to arrange

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Metaclassifiers,ification in a different manner and typically with differing results. The variation in outcome can be explained by saying that the different mathematics associated with each method views the data from various different perspectives, assigning data to classifications that can, and usually are, differ

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Theory of Constraint Satisfaction Neural Networks,e world of statistics it is not uncommon to combine the benefits of neural networks with that of certain statistical methods such as multivariate analysis, to yield solutions that are more accurate than traditional methods. In this chapter, it is shown that one particular type of neural network is u

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Auto-Contractive Maps, H Function, and the Maximally Regular Graph: A New Methodology for Data Minives the disciplines of artificial intelligence, machine learning, database systems, and, of course, mathematics. A specialized data mining tool called the auto-contractive map (AutoCM) is defined and illustrated. After the AutoCM has discovered the relationships contained within the dataset, it is d

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Analysis of a Complex Dataset Using the Combined MST and Auto-Contractive Map,ships and depicts the new knowledge in the form of a minimal spanning tree. Each subset of data is shown along with the corresponding minimal spanning tree, and a detailed description is presented to aid the reader in correctly interpreting the structure. The knowledge attained using the auto-contra

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Auto-Contractive Maps and Minimal Spanning Tree: Organization of Complex Datasets on Criminal Behav identify unknown associations among individuals contained within it. Whilst a database may contain associations of known individuals, it may be mined to identify associations that are altogether unknown and unexpected. It is shown that individuals can be identified who belong to the same gang or dr