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Social Media Analysis for Event Detection, ?zyer


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Цена: 139750.00T
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Склад Америка: 5 шт.  
При оформлении заказа до: 2025-09-29
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Автор: ?zyer
Название:  Social Media Analysis for Event Detection
ISBN: 9783031082412
Издательство: Springer
Классификация:




ISBN-10: 3031082419
Обложка/Формат: Hardback
Страницы: 229
Вес: 0.57 кг.
Дата издания: 03.11.2022
Серия: Lecture Notes in Social Networks
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 25 tables, color; 1 illustrations, black and white; vi, 229 p. 1 illus.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning. A variety of theoretical aspects, application domains and case studies are covered to highlight how it is affordable to maximize the benefit of various applications from postings on social media platforms. Social media platforms have significantly influenced and reshaped various social aspects. They have set new means of communication and interaction between people, turning the whole world into a small village where people with internet connect can easily communicate without feeling any barriers. This has attracted the attention of researchers who have developed techniques and tools capable of studying various aspects of posts on social media platforms with main concentration on Twitter. This book addresses challenging applications in this dynamic domain where it is not possible to continue applying conventional techniques in studying social media postings. The content of this book helps the reader in developing own perspective about how to benefit from machine learning techniques in dealing with social media postings and how social media postings may directly influence various applications.
Дополнительное описание: Chapter 1. A network-based approach to understanding international cooperation in environmental protection (Andreea Nita).- Chapter 2. Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor (Amruta Deshpande).- Chapter 3. TenFo


Excel data analysis

Автор: Guerrero, Hector
Название: Excel data analysis
ISBN: 3030012786 ISBN-13(EAN): 9783030012786
Издательство: Springer
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Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.

Ai-Enabled Threat Detection and Security Analysis for Industrial Iot

Автор: Karimipour Hadis, Derakhshan Farnaz
Название: Ai-Enabled Threat Detection and Security Analysis for Industrial Iot
ISBN: 3030766128 ISBN-13(EAN): 9783030766122
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges.- Complementing IIoT Services through AI: Feasibility and Suitability.- Data Security and Privacy in Industrial IoT.- Blockchain Applications in the Industrial Internet of Things.- Application of Deep Learning on IoT-enabled Smart Grid Monitoring.- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis.- The Role of Machine Learning in IIoT Through FPGAs.- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT.- Classification and Intelligent Mining of Anomalies in Industrial IoT.- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things.- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems.- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System.- A Recurrent Attention Model for Cyber Attack Classification.

Covid-19

Название: Covid-19
ISBN: 0367674661 ISBN-13(EAN): 9780367674663
Издательство: Taylor&Francis
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Цена: 122490.00 T
Наличие на складе: Нет в наличии.
Описание: This book will highlight progress in terms of Virus Biology, Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques that will provide learners and researchers (basic to advanceD) with the most innovative computer-driven methodologies for the fight against COVID-19.

Visual Event Detection

Автор: Niels Haering; Niels da Vitoria Lobo
Название: Visual Event Detection
ISBN: 1441949070 ISBN-13(EAN): 9781441949073
Издательство: Springer
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Цена: 158340.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g., recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener- ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen- erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de- rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Anomaly Detection And Complex Event Processing Over Iot Data Streams

Автор: Schneider, Patrick
Название: Anomaly Detection And Complex Event Processing Over Iot Data Streams
ISBN: 0128238186 ISBN-13(EAN): 9780128238189
Издательство: Elsevier Science
Рейтинг:
Цена: 114530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms.

The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing.


Max-Plus Linear Stochastic Systems and Perturbation Analysis

Автор: Bernd F. Heidergott
Название: Max-Plus Linear Stochastic Systems and Perturbation Analysis
ISBN: 1441941983 ISBN-13(EAN): 9781441941985
Издательство: Springer
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Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough review and explanation of the theory of stochastic max-plus linear systems, which has seen rapid advances in the last decade.

Static Analysis: 27th International Symposium, SAS 2020, Virtual Event, November 18-20, 2020, Proceedings

Автор: Pichardie David, Sighireanu Mihaela
Название: Static Analysis: 27th International Symposium, SAS 2020, Virtual Event, November 18-20, 2020, Proceedings
ISBN: 3030654737 ISBN-13(EAN): 9783030654733
Издательство: Springer
Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Polynomial Invariants for Affine Programs.- Cost Analysis of Smart Contracts via Parametric Resource Analysis.- Memory-Efficient Fixpoint Computation.- Abstract Neural Networks.- Termination of Polynomial Loops.- Stratified Guarded First-order Transition Systems.- Predicate Abstraction and CEGAR for nuHFL(Z) Validity Checking.- Counterexample- and Simulation-Guided Floating-Point Loop Invariant Synthesis.- Harming Dynamic Analysis.- Simple and Efficient Computation of Minimal Weak Control Closure.- A Library Modeling Language for the Static Analysis of C Programs.- Interprocedural Shape Analysis Using Separation Logic-Based Transformer Summaries.- Probabilistic Lipschitz Analysis of Neural Networks.- On Multi-Language Abstraction: Towards a Static Analysis of Multi-Language Programs.- Exact and Linear-Time Gas-Cost Analysis.- Farkas-Based Tree Interpolation.


Analysis of Experimental Algorithms: Special Event, SeaІ 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers

Автор: Kotsireas Ilias, Pardalos Panos, Parsopoulos Konstantinos E.
Название: Analysis of Experimental Algorithms: Special Event, SeaІ 2019, Kalamata, Greece, June 24-29, 2019, Revised Selected Papers
ISBN: 3030340287 ISBN-13(EAN): 9783030340285
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the Special Event on the Analysis of Experimental Algorithms, SEA(2) 2019, held in Kalamata, Greece, in June 2019. The 35 revised full papers presented were carefully reviewed and selected from 45 submissions.

Beyond the Worst-Case Analysis of Algorithms

Автор: Tim Roughgarden
Название: Beyond the Worst-Case Analysis of Algorithms
ISBN: 1108494315 ISBN-13(EAN): 9781108494311
Издательство: Cambridge Academ
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Цена: 61250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.

Roadside Video Data Analysis

Автор: Brijesh Verma; Ligang Zhang; David Stockwell
Название: Roadside Video Data Analysis
ISBN: 9811045380 ISBN-13(EAN): 9789811045387
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems.

Marginal Space Learning for Medical Image Analysis

Автор: Yefeng Zheng; Dorin Comaniciu
Название: Marginal Space Learning for Medical Image Analysis
ISBN: 1493955756 ISBN-13(EAN): 9781493955756
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications.

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

Автор: Karimipour
Название: AI-Enabled Threat Detection and Security Analysis for Industrial IoT
ISBN: 3030766152 ISBN-13(EAN): 9783030766153
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.


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