Big data in omics and imaging, Xiong, Momiao (university Of Texas School Of Public Health, Usa)
Название: Big Data in Omics and Imaging, Two Volume Set ISBN: 0367002183 ISBN-13(EAN): 9780367002183 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Поставка под заказ.
Описание: Introduces currently developed statistical methods and software for big genomic and epigenomic data analysis with real-world examples and case studies.
Описание: It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society.
Автор: Hans Op de Beeck, Chie Nakatani Название: Introduction to Human Neuroimaging ISBN: 1107180309 ISBN-13(EAN): 9781107180307 Издательство: Cambridge Academ Рейтинг: Цена: 19008.00 р. Наличие на складе: Поставка под заказ.
Описание: Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.
Автор: Wong Ka-Chun Название: Big Data Analytics in Genomics ISBN: 3319823124 ISBN-13(EAN): 9783319823126 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field. This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.
Автор: Saxena Ankur, Brault Nicolas, Rashid Shazia Название: Big Data and Artificial Intelligence for Healthcare Applications ISBN: 036755495X ISBN-13(EAN): 9780367554958 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research.
Автор: Bajorski, Peter Название: Statistics for imaging, optics, and photonics ISBN: 0470509457 ISBN-13(EAN): 9780470509456 Издательство: Wiley Рейтинг: Цена: 14090.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques.
Автор: Iman Rahimi, Amir H. Gandomi, Simon James Fong Название: Big data analytics in supply chain management ISBN: 0367407175 ISBN-13(EAN): 9780367407179 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the results of a recent large-scale achievement on Big Data Analytics (BDA) topics among Supply Chain Management (SCM) professionals The book intends to show a diversity of supply chain management issues that may benefit from BDA, both in theory and practice.
Автор: Qu Youyang, Nosouhi Mohammad Reza, Cui Lei Название: Personalized Privacy Protection in Big Data ISBN: 9811637490 ISBN-13(EAN): 9789811637490 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: - Chapter 1: Introduction
o Privacy research landscape
o Personalized privacy overview
o Contribution of this book
o Remainder of the book
- Chapter 2: Current Methods of Privacy Protection
o Cryptography based methods
o Differential privacy methods
o Anonymity-based methods
o Clustering-base methods
o Machine learning and AI methods
- Chapter 3: Privacy Attacks
o Attack classification
o Rationale of the attacks
o The comparison of attacks
- Chapter 4: Personalize Privacy Defense
o Personalized privacy in cyber-physical systems
o Personalized privacy in social networks
o Personalized privacy in smart city
o Personalized privacy in location-based services
o Personalized privacy on the rise
- Chapter 5: Future Directions
o Trade-off optimization
o Decentralized privacy protection
o Privacy-preserving federated learning
o Federated generative adversarial nets
- Chapter6: Summary and Outlook
Автор: Wolfgang Karl H?rdle; Henry Horng-Shing Lu; Xiaoto Название: Handbook of Big Data Analytics ISBN: 3319182838 ISBN-13(EAN): 9783319182834 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
Автор: Peсa Daniel, Tsay Ruey S. Название: Analysis of Big Dependent Data ISBN: 1119417384 ISBN-13(EAN): 9781119417385 Издательство: Wiley Рейтинг: Цена: 17733.00 р. Наличие на складе: Поставка под заказ.
Описание: Through a historical perspective on the long-studied Arashiyama population of Japanese macaques, this book reviews the range of current primatological research topics, including life history, sexual, social and cultural behaviour and ecology. It highlights the historic value of the Arashiyama group and illustrates its continuing importance with significant new research.
Автор: Shikhman, Vladimir Muller, David Название: Mathematical foundations of big data analytics ISBN: 3662625202 ISBN-13(EAN): 9783662625200 Издательство: Springer Рейтинг: Цена: 4890.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this textbook, basic mathematical models used in Big Data Analytics are presented and application-oriented references to relevant practical issues are made.
Описание: This book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016.
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