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: 9311 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An extensively revised and updated edition of this popular and accessible text.
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.
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 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: Delaney Название: Netter`s Surgical Anatomy and Approaches ISBN: 1437708331 ISBN-13(EAN): 9781437708332 Издательство: Elsevier Science Рейтинг: Цена: 21663 р. Наличие на складе: Невозможна поставка.
Описание: Combines the unmatched surgical anatomy illustrations of Frank H Netter, MD with endoscopic, laparoscopic, and radiologic images - integrated with expert descriptions of each operative procedure - to provide a clear overview of the exposures, incision sites, surgically relevant landmarks, structures, and fascial planes.
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.
Автор: Martti Lehto; Pekka Neittaanm?ki Название: Cyber Security: Analytics, Technology and Automation ISBN: 331918301X ISBN-13(EAN): 9783319183015 Издательство: Springer Рейтинг: Цена: 16769 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book, in addition to the cyber threats and technology, processes cyber security from many sides as a social phenomenon and how the implementation of the cyber security strategy is carried out.The book gives a profound idea of the most spoken phenomenon of this time.
Описание: Traditional marketing techniques have become outdated by the emergence of the internet, and for companies to survive in the new technological marketplace, they must adopt digital marketing and business analytics practices. Unfortunately, with the benefits of improved storage and flow of information comes the risk of cyber-attack.Business Analytics and Cyber Security Management in Organizations compiles innovative research from international professionals discussing the opportunities and challenges of the new era of online business. Outlining updated discourse for business analytics techniques, strategies for data storage, and encryption in emerging markets, this book is ideal for business professionals, practicing managers, and students of business.
Автор: Shishir K. Shandilya; Neal Wagner; Atulya K. Nagar Название: Advances in Cyber Security Analytics and Decision Systems ISBN: 3030193527 ISBN-13(EAN): 9783030193522 Издательство: Springer Рейтинг: Цена: 20962 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.
Автор: Zheng Xu; Kim-Kwang Raymond Choo; Ali Dehghantanha Название: Cyber Security Intelligence and Analytics ISBN: 3030152340 ISBN-13(EAN): 9783030152345 Издательство: Springer Рейтинг: Цена: 13974 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the outcomes of the 2019 International Conference on Cyber Security Intelligence and Analytics (CSIA2019), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of Cyber Security Intelligence and Analytics.
Автор: Mohiuddin Mohiuddin Ahmed Название: Security Analytics for the Internet of Everything ISBN: 036744092X ISBN-13(EAN): 9780367440923 Издательство: Taylor&Francis Рейтинг: Цена: 18374 р. Наличие на складе: Невозможна поставка.
Описание: This book addresses security analytics for the Internet of Everything. It provides a big picture on the concepts, techniques, applications, and open research directions in this area. It also serves as a single source of reference for acquiring the knowledge on the technology, process, and people involved in next generation cyber security.
