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Intelligent Data Engineering and Analytics, Bhateja


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Цена: 34150.00р.
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Автор: Bhateja
Название:  Intelligent Data Engineering and Analytics
ISBN: 9789811975233
Издательство: Springer
Классификация:

ISBN-10: 981197523X
Обложка/Формат: Hardback
Страницы: 637
Вес: 1.26 кг.
Дата издания: 25.02.2023
Серия: Smart Innovation, Systems and Technologies
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 225 illustrations, color; 61 illustrations, black and white; xviii, 637 p. 286 illus., 225 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of the 10th international conference on frontiers in intelligent computing: theory and applications (ficta 2022)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. These proceedings are divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This volume is a valuable resource for postgraduate students in various engineering disciplines.
Дополнительное описание: AgriBlockchain: Agriculture supply chain using blockchain.- A Triple Band High Gain Antenna Using Metamaterial.- Hybrid Energy Systems Integrated Power System Imbalance Cost Calculation using Moth Swam Algorithm.- Lightweight Privacy Preserving Framework



Big data analytics and intelligent systems for cyber threat intelligence

Название: Big data analytics and intelligent systems for cyber threat intelligence
ISBN: 8770227780 ISBN-13(EAN): 9788770227780
Издательство: Taylor&Francis
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Цена: 16078.00 р.
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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
Intelligent Data Mining in Law Enforcement Analytics

Автор: Paolo Massimo Buscema; William J. Tastle
Название: Intelligent Data Mining in Law Enforcement Analytics
ISBN: 9400796013 ISBN-13(EAN): 9789400796010
Издательство: Springer
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Цена: 25491.00 р.
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Описание: In this thorough review of cutting-edge methods in law-enforcement data mining, the authors bring the latest research on artificial intelligence to life with chapters on key neural network developments in law enforcement that make criminality more foreseeable.

Computational Red Teaming

Автор: Hussein A. Abbass
Название: Computational Red Teaming
ISBN: 3319384414 ISBN-13(EAN): 9783319384412
Издательство: Springer
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Цена: 12537.00 р.
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Описание: Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.

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: 18294.00 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.

Machine Learning Paradigms

Автор: Tsihrintzis
Название: Machine Learning Paradigms
ISBN: 3319940295 ISBN-13(EAN): 9783319940298
Издательство: Springer
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Цена: 20733.00 р.
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Описание: Data Analytics in the Medical, Biological and Signal Sciences.- Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics.- Classification Methods in Image Analysis with a Special Focus on Medical Analytics.- Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field.- Machine Learning Methods for the Protein Fold Recognition Problem.

Internet of Things and Big Data Analytics for Smart Generation

Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve
Название: Internet of Things and Big Data Analytics for Smart Generation
ISBN: 3030042022 ISBN-13(EAN): 9783030042028
Издательство: Springer
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Цена: 17074.00 р.
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Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

Cloud Computing for Geospatial Big Data Analytics

Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube
Название: Cloud Computing for Geospatial Big Data Analytics
ISBN: 3030033589 ISBN-13(EAN): 9783030033583
Издательство: Springer
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Цена: 20733.00 р.
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Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Introduction to Intelligent Surveillance

Автор: Wei Qi Yan
Название: Introduction to Intelligent Surveillance
ISBN: 3030107124 ISBN-13(EAN): 9783030107123
Издательство: Springer
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Цена: 7317.00 р.
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Описание: This practically-oriented textbook introduces the fundamentals of designing digital surveillance systems powered by intelligent computing techniques. The text offers comprehensive coverage of each aspect of the system, from camera calibration and data capture, to the secure transmission of surveillance data, in addition to the detection and recognition of individual biometric features and objects. The coverage concludes with the development of a complete system for the automated observation of the full lifecycle of a surveillance event, enhanced by the use of artificial intelligence and supercomputing technology.This updated third edition presents an expanded focus on human behavior analysis and privacy preservation, as well as deep learning methods.Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, including a range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing.This concise and accessible work serves as a classroom-tested textbook for graduate-level courses on intelligent surveillance. Researchers and engineers interested in entering this area will also find the book suitable as a helpful self-study reference.

Soft Computing in Data Analytics

Автор: Janmenjoy Nayak; Ajith Abraham; B. Murali Krishna;
Название: Soft Computing in Data Analytics
ISBN: 9811305137 ISBN-13(EAN): 9789811305139
Издательство: Springer
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Цена: 24392.00 р.
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Описание: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.

Big Data Analytics for Cyber-Physical System in Smart City

Автор: Mohammed Atiquzzaman; Neil Yen; Zheng Xu
Название: Big Data Analytics for Cyber-Physical System in Smart City
ISBN: 9811525676 ISBN-13(EAN): 9789811525674
Издательство: Springer
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Цена: 60983.00 р.
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Описание: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28-29 December 2019.

Recent Developments in Machine Learning and Data Analytics

Автор: Kalita
Название: Recent Developments in Machine Learning and Data Analytics
ISBN: 9811312796 ISBN-13(EAN): 9789811312793
Издательство: Springer
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Цена: 18294.00 р.
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Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.


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