Titlebook: Rule Based Systems for Big Data; A Machine Learning A Han Liu,Alexander Gegov,Mihaela Cocea Book 2016 Springer International Publishing Swi

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Generation of Classification Rules,describes the two approaches of rule generation. In particular, the existing rule learning algorithms, namely ID3, Prism and Information Entropy Based Rule Generation (IEBRG), are illustrated in detail. These algorithms are also discussed comparatively with respects to their advantages and disadvant

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Simplification of Classification Rules, approaches of rule simplification namely, pre-pruning and post-pruning. In particular, some existing rule pruning algorithms are described in detail. These algorithms are also discussed comparatively with respects to their advantages and disadvantages.

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Representation of Classification Rules,es three techniques for representation of classification rules namely, decision trees, linear lists and rule based networks. In particular, these representations are illustrated using examples in terms of searching for firing rules. These techniques are also discussed comparatively in terms of compu

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Ensemble Learning Approaches,ble learning namely, parallel learning, sequential learning and hybrid learning. In particular, some popular methods for ensemble learning, such as Bagging and Boosting, are illustrated in detail. These methods are also discussed comparatively with respects to their advantages and disadvantages.

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Interpretability Analysis,etability on rule based systems. In particular, some impact factors are identified and how these factors have an impact on interpretability is also analyzed. In addition, some criteria for evaluation on interpretability are also listed.

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https://doi.org/10.1007/978-3-322-84185-8Institution; Kapital; Knappheit; Sozialwissenschaft; Umwelt; sozialwissenschaftlich

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Book 2017 authored chapters discuss cell-based therapies for spinal cord injury and regeneration, traumatic brain injury, glioblastoma, Parkinson‘s Disease, ischemic stroke, cell banking, human embryonic stem cells and related concerns, harvesting of adipose tissue, and more. These topics are contextualized