AI and Big Data`s Potential for Disruptive Innovation, Moses Strydom, Sheryl Buckley
Автор: Moses Strydom, Sheryl Buckley Название: AI and Big Data`s Potential for Disruptive Innovation ISBN: 1522596879 ISBN-13(EAN): 9781522596875 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30215.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare.
Автор: Zaitsev A.M. Название: Optical Properties of Diamond / A Data Handbook ISBN: 354066582X ISBN-13(EAN): 9783540665823 Издательство: Springer Рейтинг: Цена: 39130.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook is the most comprehensive compilation of data on the optical properties of diamond ever written. It presents a multitude of data previously for the first time in English. The author provides quick access to the most comprehensive information on all aspects of the field.
Описание: The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering algorithms, principal manifolds and SOM. New approaches to NLPCA, principal manifolds, branching principal components and topology preserving mappings are described.
Описание: This book explores and analyzes emerging innovations within today`s most cutting-edge science and technology (S&T) areas, which are cited as carrying the potential to revolutionize governmental structures, economies, and international security.
Автор: Peter Wollmann; Frank K?hn; Michael Kempf Название: Three Pillars of Organization and Leadership in Disruptive Times ISBN: 3030232263 ISBN-13(EAN): 9783030232269 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book, written by an interdisciplinary team of authors, explores the transformation of organizations in today’s volatile, uncertain, and ambiguous (VUCA) world. It demonstrates the need to manage organizations in a dynamic way, and to revisit and in some cases reinvent working and leadership styles that seemed appropriate during past decades and centuries. In turn, the book puts forward a model based on three distinct pillars of organization and leadership to suit disruptive times: the concepts of 'Sustainable Purpose', 'Travelling Organization', and 'Connecting Resources'. These pillars challenge many of our traditional organizational patterns and meet the need for effective transformative approaches.
Автор: Pablo Duboue Название: The Art of Feature Engineering: Essentials for Machine Learning ISBN: 1108709389 ISBN-13(EAN): 9781108709385 Издательство: Cambridge Academ Рейтинг: Цена: 6970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.
Описание: This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018), took place on 13 – 15 December 2018 in Coimbatore, India.
Автор: Neha Sharma; Amlan Chakrabarti; Valentina Emilia B Название: Data Management, Analytics and Innovation ISBN: 981139363X ISBN-13(EAN): 9789811393631 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Нет в наличии.
Описание: This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
Автор: Hsu, Hui-Huang Название: Big Data Analytics for Sensor-Network Collected Intelligence ISBN: 0128093935 ISBN-13(EAN): 9780128093931 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.
It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.
In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Contains contributions from noted scholars in computer science and electrical engineering from around the globe
Provides a broad overview of recent developments in sensor collected intelligence
Edited by a team comprised of leading thinkers in big data analytics
Автор: Francisco Azuaje, Gari Clifford, And Patrick Mcsh Название: Advanced Methods And Tools For Ecg Data Analysis ISBN: 1580539661 ISBN-13(EAN): 9781580539661 Издательство: Artech House Рейтинг: Цена: 26242.00 р. Наличие на складе: Нет в наличии.
Описание: Here’s a cutting-edge, practical book that offers you a thorough understanding of state-of-the-art techniques for electrocardiogram (ECG) data analysis. Placing emphasis on the selection, modeling, classification, and interpretation of data based on advanced signal processing and artificial intelligence techniques, the book helps you design, implement, and evaluate software systems used for the analysis of ECG and related data.
Автор: Li, Fanzhang / Zhang, Li / Zhang, Zhao Название: Dynamic Fuzzy Machine Learning ISBN: 3110518708 ISBN-13(EAN): 9783110518702 Издательство: Walter de Gruyter Рейтинг: Цена: 22439.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic. This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.
Автор: Chiara Certom?; Mark Dyer; Lorena Pocatilu; France Название: Citizen Empowerment and Innovation in the Data-Rich City ISBN: 3319479032 ISBN-13(EAN): 9783319479033 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book will appeal to all those who are interested in the required transformation in the planning, management, and operations of data-rich cities and the ways in which such cities can employ the latest technologies to use data efficiently, promoting data access, data sharing, and interoperability.
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