Machine Learning Approaches in Cyber Security Analytics, Tony Thomas
Автор: Richards Jack C. Название: Approaches and Methods in Language Teaching ISBN: 1107675960 ISBN-13(EAN): 9781107675964 Издательство: Cambridge University Press Рейтинг: Цена: 8853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An extensively revised and updated edition of this popular and accessible text.
Автор: Shlomi Dolev; Sachin Lodha Название: Cyber Security Cryptography and Machine Learning ISBN: 3319600796 ISBN-13(EAN): 9783319600796 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held in Beer-Sheva, Israel, in June 2017. The 17 full and 4 short papers presented include cyber security; secure software development methodologies, formal methods semantics and verification of secure systems;
Автор: Dinur Название: Cyber Security Cryptography and Machine Learning ISBN: 3319941461 ISBN-13(EAN): 9783319941462 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 submissions.
Описание: This book introduces reinforcement learning, and provides novel ideas and use cases to demonstrate the benefits of using reinforcement learning for Cyber Physical Systems. Two important case studies on applying reinforcement learning to cybersecurity problems are included.
Автор: Brij B. Gupta, Quan Z. Sheng Название: Machine Learning for Computer and Cyber Security ISBN: 1138587303 ISBN-13(EAN): 9781138587304 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Нет в наличии.
Описание: This comprehensive book offers valuable insights while using a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security.
Автор: Krishna P. Venkata, Gurumoorthy Sasikumar, Obaidat Mohammad S. Название: Social Network Forensics, Cyber Security, and Machine Learning ISBN: 9811314551 ISBN-13(EAN): 9789811314551 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.
Автор: Kulnazarova, Aigul, Popovski, Vesselin Название: The Palgrave Handbook of Global Approaches to Peace ISBN: 331978904X ISBN-13(EAN): 9783319789040 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With existing literature focusing largely on Western perspectives of peace and their applications, a global understanding of peace is much needed.
Автор: Bain William Название: Empire of Security and the Safety of the People ISBN: 0415663954 ISBN-13(EAN): 9780415663953 Издательство: Taylor&Francis Рейтинг: Цена: 8420.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Security is an essentially contested concept. This volume interprets the meaning of security as it is intelligible in relation to, and in the context of, other ideas that are central to contemporary international life such as: sovereignty; diplomacy; war; great powers and self-determination.
Автор: Hough, Peter (middlesex University, Uk) Название: Understanding global security houg ISBN: 1138726834 ISBN-13(EAN): 9781138726833 Издательство: Taylor&Francis Рейтинг: Цена: 3828.00 р. Наличие на складе: Нет в наличии.
Описание: This fourth edition analyses the variety of ways in which people`s lives are threatened and how these threats can be neutralised. Traditional security studies subjects such as war, deterrence and terrorism are analysed alongside non-military issues such as crime, health, environmental degradation and natural disasters.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions; key elements of the research process; a review of the literature; an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry.
New to this Edition
Updated discussion on designing a proposal for a research project and on the steps in designing a research study.
Additional content on epistemological and ontological positioning in relation to the research question and chosen methodology and method.
Additional updates on the transformative worldview.
Expanded coverage on specific approaches such as case studies, participatory action research, and visual methods.
Additional information about social media, online qualitative methods, and mentoring and reflexivity in qualitative methods.
Incorporation of action research and program evaluation in mixed methods and coverage of the latest advances in the mixed methods field
Additional coverage on qualitative and quantitative data analysis software in the respective methods chapters.
Additional information about causality and its relationship to statistics in quantitative methods.
Incorporation of writing discussion sections into each of the three methodologies.
Current references and additional readings are included in this new edition.
Описание: The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fifth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.
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