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This e ebook opinions the latest developments in nature-inspired computation, with a focus on the cross-disciplinary functions in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current scorching evaluation topics as a consequence of their significance in every precept and smart functions. Adopting an application-focused methodology, each chapter introduces a specific matter, with detailed descriptions of associated algorithms, intensive literature opinions and implementation particulars. Covering topics harking back to nature-inspired algorithms, swarm intelligence, classification, clustering, attribute selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it moreover presents case analysis and functions, along with classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of illnesses, and healthcare firms. This e ebook is every a worthwhile a reference helpful useful resource and a smart data for faculty college students, researchers and professionals in laptop computer science, data and administration sciences, artificial intelligence and machine learning. |