Wenn in Datenbergen wertvolle Geheimnisse schlummern, aus denen Profit erzielt werden soll, dann geht es um Big Data. Doch wie schpft man aus groen Daten echte Werte, wenn man nicht gerade Google ist? Um aus Unternehmens-, Maschinen- oder Sensordaten einen Ertrag zu erzielen, reicht Big Data-Technologie allein nicht aus. Entscheidend sind die bergeordneten Innovations prozesse: die smarte Analyse von Big Data. Erst durch den kompetenten Einsatz der richtigen Werkzeuge und Techniken werden aus Big Data tatschlich Smart Data.
Das Praxishandbuch Smart Data Analytics gibt einen berblick ber die Technologie, die bei der Analyse von groen und heterogenen Datenmengen - inklusive Echtzeitdaten - zum Einsatz kommt. Elf Praxisbeispiele zeigen die konkrete Anwendung in kleinen und mittelstndischen Unternehmen. So erfahren Sie, wie Sie Ihr Smart Data Analytics-Projekt in Ihrem eigenen Unternehmen vorbereiten und umsetzen knnen. Das Buch erlutert neben den organisatorischen Aspekten auch die rechtlichen Rahmenbedingungen. Und es zeigt, wie Sie sowohl den Nutzen bewerten knnen, der aus den Daten gezogen werden soll, als auch den Aufwand, den Sie dafr betreiben mssen. Denn Smart Data steht fr mehr als nur die Untersuchung groer Datenmengen: Smart Data Analytics ist der Schlssel zu einem smarten Umgang mit Ihren Unternehmensdaten und hilft, bislang unentdecktes Potenzial zu entdecken.
Dr. Andreas Wierse
studierte Mathematik und promovierte in den Ingenieurwissenschaften im Bereich Visualisierung, seit 2011 untersttzt er mittelstndische Unternehmen rund um Big und Smart Data Technologie.
Dr. Till Riedel
lehrt als Informatiker am KIT und koordiniert im Smart Data Solution Center Baden-Wrttemberg und Smart Data Innovation Lab Forschung und Innovation auf industriellen Datenschtzen.
Автор: Baddi Youssef, Gahi Youssef, Maleh Yassine Название: Big Data Intelligence for Smart Applications ISBN: 3030879534 ISBN-13(EAN): 9783030879532 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.
Автор: Lai Chun Sing, Lai Loi Lei, Lai Qi Hong Название: Smart Grids and Big Data Analytics for Smart Cities ISBN: 3030521540 ISBN-13(EAN): 9783030521547 Издательство: Неизвестно Рейтинг: Цена: 220690.00 T Наличие на складе: Невозможна поставка. Описание: This book provides a comprehensive introduction to different elements of smart city infrastructure - smart energy, smart water, smart health, and smart transportation - and how they work independently and together.
Название: Big data analytics and intelligent techniques for smart cities ISBN: 0367753553 ISBN-13(EAN): 9780367753559 Издательство: Taylor&Francis Рейтинг: Цена: 132710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering.Features:Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart citiesApplications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes
Автор: Khan Mohammad Ayoub, Algarni Fahad, Quasim Mohammad Tabrez Название: Smart Cities: A Data Analytics Perspective ISBN: 3030609219 ISBN-13(EAN): 9783030609214 Издательство: Springer Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.
Автор: Ghosh Uttam, Maleh Yassine, Alazab Mamoun Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities ISBN: 3030720640 ISBN-13(EAN): 9783030720643 Издательство: Springer Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.
Автор: Khan Mohammad Ayoub, Algarni Fahad, Quasim Mohammad Tabrez Название: Smart Cities: A Data Analytics Perspective ISBN: 3030609243 ISBN-13(EAN): 9783030609245 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.
Автор: Ghosh Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities ISBN: 3030720675 ISBN-13(EAN): 9783030720674 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors.
Автор: Yi Wang, Qixin Chen, Chongqing Kang Название: Smart Meter Data Analytics ISBN: 9811526230 ISBN-13(EAN): 9789811526237 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied.
Автор: Stimmel Carol L. Название: Big Data Analytics Strategies for the Smart Grid ISBN: 1482218283 ISBN-13(EAN): 9781482218282 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.
Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:
SAS for asset management tools
The AutoGrid approach to commercial analytics
Space-Time Insight's work at the California ISO (CAISO)
This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.
At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.
Автор: Sujatha R., Aarthy S. L., Vettriselvan R. Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics ISBN: 0367466635 ISBN-13(EAN): 9780367466633 Издательство: Taylor&Francis Рейтинг: Цена: 117390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.
Автор: Wang Yi, Chen Qixin, Kang Chongqing Название: Smart Meter Data Analytics: Electricity Consumer Behavior Modeling, Aggregation, and Forecasting ISBN: 9811526265 ISBN-13(EAN): 9789811526268 Издательство: Springer Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied.
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