Über dieses E-Book
The book includes chapters containing: unsupervised learning, semi-supervised learning, supervised learning, text mining, natural language processing, and more. It also includes background on security, statistics, and linear algebra. The website for the book contains a listing of datasets, updates, and other resources for serious practitioners.
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Autoren-Profil
Rakesh Verma is a professor of computer science at the University of Houston where he is leading a research group that applies reasoning and data science to cybersecurity challenges. He teaches a course on security analytics that includes some of the material here. Since 2015, he has been co-organizing and editing the proceedings of the ACM International Workshop on Security and Privacy Analytics. He is an editor of Frontiers of Big Data in the Cybersecurity Area, an ACM Distinguished Speaker (2011-2018), and the winner of two Best Paper Awards. He received the Lifetime Mentoring Award from the University of Houston and he is a Fulbright Senior Specialist in Computer Science.
David Marchette is a principal scientist at the Naval Surface Warfare Center, Dahlgren Division where he is responsible for leading basic and applied research projects in computational statistics, graph theory, network analysis, pattern recognition, computer intrusion detection, and text analysis. He is a fellow of the American Statistical Association (ASA) and the American Association for the Advancement of Science (AAAS) and an elected member of the International Statistical Institute (ISI).
