Titlebook: Kernphysik; Eine Einführung Klaus Bethge,Gertrud Walter,Bernhard Wiedemann Textbook 2008Latest edition Springer-Verlag Berlin Heidelberg 20

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ensics; examines a range of advanced topics, including botnet, smartphone, and cloud forensics; reviews a number of freely available tools for performing forensic activities.978-1-4471-7399-1978-1-4471-7299-4Series ISSN 1617-7975 Series E-ISSN 2197-8433

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ensics; examines a range of advanced topics, including botnet, smartphone, and cloud forensics; reviews a number of freely available tools for performing forensic activities.978-1-4471-7399-1978-1-4471-7299-4Series ISSN 1617-7975 Series E-ISSN 2197-8433

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fic. It can be broadly classified into three categories as supervised, unsupervised, and semi-supervised. Supervised machine learning algorithms are those algorithms which are used to learn patterns from labeled input data sets. These algorithms build classifier model from these inputs and then that

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to investigate individuals suspected of crimes and reconstruct a chain of events during a network-based activity tool. Machine learning is one of the popular approaches used to analyze the network events that adds computer the power to adopt and react according to the situation. These algorithms are

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models and implemented frameworks.Introduces a wide range ofThis timely text/reference presents a detailed introduction to the essential aspects of computer network forensics. The book considers not only how to uncover information hidden in email messages, web pages and web servers, but also what th

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to investigate individuals suspected of crimes and reconstruct a chain of events during a network-based activity tool. Machine learning is one of the popular approaches used to analyze the network events that adds computer the power to adopt and react according to the situation. These algorithms are