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Data Management, Analytics and Innovation, Neha Sharma; Amlan Chakrabarti; Valentina Emilia B


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Автор: Neha Sharma; Amlan Chakrabarti; Valentina Emilia B
Название:  Data Management, Analytics and Innovation
ISBN: 9789811393631
Издательство: Springer
Классификация:



ISBN-10: 981139363X
Обложка/Формат: Soft cover
Страницы: 500
Вес: 1.04 кг.
Дата издания: 2020
Серия: Advances in Intelligent Systems and Computing
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 177 illustrations, color; 52 illustrations, black and white; xii, 500 p. 229 illus., 177 illus. in color.
Размер: 231 x 159 x 20
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of ICDMAI 2019, Volume 2
Ссылка на Издательство: Link
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Поставляется из: Германии
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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.
Дополнительное описание: Sequence Mining Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification.- Identifying Phishing through Web Content and addressed Bar-Based Features.- A Unified Framework for Outfit Design and Advice.- Context



Data Management, Analytics and Innovation

Автор: Neha Sharma; Amlan Chakrabarti; Valentina Emilia B
Название: Data Management, Analytics and Innovation
ISBN: 9813299487 ISBN-13(EAN): 9789813299481
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Поставка под заказ.

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 Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and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.

Data Management, Analytics and Innovation

Автор: Balas
Название: Data Management, Analytics and Innovation
ISBN: 9811312737 ISBN-13(EAN): 9789811312731
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies.

Big Data Analytics for Sensor-Network Collected Intelligence

Автор: Hsu, Hui-Huang
Название: Big Data Analytics for Sensor-Network Collected Intelligence
ISBN: 0128093935 ISBN-13(EAN): 9780128093931
Издательство: Elsevier Science
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Цена: 15159.00 р.
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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
EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Автор: Anandakumar Haldorai; Arulmurugan Ramu; Sudha Moha
Название: EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
ISBN: 3030195619 ISBN-13(EAN): 9783030195618
Издательство: Springer
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Цена: 20962.00 р.
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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.

Citizen Empowerment and Innovation in the Data-Rich City

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
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Цена: 19564.00 р.
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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.

Big Data Analytics

Автор: Vasudha Bhatnagar; Srinath Srinivasa
Название: Big Data Analytics
ISBN: 3319036882 ISBN-13(EAN): 9783319036885
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed conference proceedings of the Second International Conference on Big Data Analytics, BDA 2013, held in Mysore, India, in December 2013.

Data Analytics for Renewable Energy Integration. Technologies, Systems and Society

Автор: Wei Lee Woon; Zeyar Aung; Alejandro Catalina Feli?
Название: Data Analytics for Renewable Energy Integration. Technologies, Systems and Society
ISBN: 3030043029 ISBN-13(EAN): 9783030043025
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018.The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Автор: Kah Phooi Seng; Li-minn Ang; Alan Wee-Chung Liew;
Название: Multimodal Analytics for Next-Generation Big Data Technologies and Applications
ISBN: 3319975978 ISBN-13(EAN): 9783319975979
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.

Big Data Analytics in the Social and Ubiquitous Context

Автор: Martin Atzmueller; Alvin Chin; Frederik Janssen; I
Название: Big Data Analytics in the Social and Ubiquitous Context
ISBN: 3319290088 ISBN-13(EAN): 9783319290089
Издательство: Springer
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Цена: 5590.00 р.
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Описание:

Using Wikipedia for Cross-language Named Entity Recognition.- On the Predictive Power of Web Intelligence and Social Media.- A Latent Space Analysis of Editor Lifecycles in Wikipedia.- On Spatial Measures of Geographic Relevance for Geotagged Social Media Content.- Formation and Temporal Evolution of Social Groups During Coffee Breaks.- A Habit Detection Algorithm (HDA) for Discovering Recurrent Patterns in Smart Meter Time Series.- RoADS: A road pavement monitoring system for anomaly detection using smart phones.- Mining ticketing logs for usage characterization with nonnegative matrix factorization.- Context-Aware Location Prediction.

Data Analytics for Renewable Energy Integration

Автор: Wei Lee Woon; Zeyar Aung; Stuart Madnick
Название: Data Analytics for Renewable Energy Integration
ISBN: 3319274295 ISBN-13(EAN): 9783319274294
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This bookconstitutes revised selected papers from the third ECML PKDD Workshop on DataAnalytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal,in September 2015. The 10 papers presented in this volume were carefully reviewed and selected forinclusion in this book.

Big Data Analytics

Автор: Naveen Kumar; Vasudha Bhatnagar
Название: Big Data Analytics
ISBN: 3319270567 ISBN-13(EAN): 9783319270562
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereedconference proceedings of the Fourth International Conference on Big DataAnalytics, BDA 2015, held in Hyderabad, India, in December 2015. The 9 revised full papers and 9invited papers were carefully reviewed and selected from 61 submissions andcover topics on big data: security and privacy;

Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy

Автор: Woon
Название: Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy
ISBN: 3319716425 ISBN-13(EAN): 9783319716428
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Описание: This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017.


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