Контакты/Проезд  Доставка и Оплата Помощь/Возврат
История
  +7(495) 980-12-10
  пн-пт: 10-18 сб,вс: 11-18
  shop@logobook.ru
   
    Поиск книг                    Поиск по списку ISBN Расширенный поиск    
Найти
  Зарубежные издательства Российские издательства  
Авторы | Каталог книг | Издательства | Новинки | Учебная литература | Акции | Хиты | |
 

Social Media Analysis for Event Detection, ?zyer


Варианты приобретения
Цена: 20962.00р.
Кол-во:
Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
При условии наличия книги у поставщика.

Добавить в корзину
в Мои желания

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
Рейтинг:
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
Рейтинг:
Цена: 13974.00 р.
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: 22359.00 р.
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.

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: 17180.00 р.
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.

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: 11179.00 р.
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.

Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer

Автор: Bhateja Vikrant, Misra Mukul, Urooj Shabana
Название: Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer
ISBN: 981150444X ISBN-13(EAN): 9789811504440
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Introduction: Computer-aided Analysis of Mammograms for Diagnosis of Breast Cancer.- Mammogram Enhancement: Background.- Methodology: Motivation, Objectives and Proposed Solution Approach.- Performance Evaluation and Benchmarking of Mammogram Enhancement Approaches: Mammographic Image Quality Assessment.- Non-linear Polynomial Filters: Overview, Evolution and Proposed Mathematical Formulation.- Non-linear Polynomial Filters for Contrast Enhancement of Mammograms.- Non-linear Polynomial Filters for Edge Enhancement of Mammograms.- Human Visual System Based Unsharp Masking for Enhancement of Mammograms.- Conclusions and Future Scope: Applications, Contributions and Impact.

Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder

Автор: Gaurav Dhiman, Sandeep Kautish
Название: Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder
ISBN: 1799874605 ISBN-13(EAN): 9781799874607
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 46985.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Autism spectrum disorder (ASD) is known as a neuro-disorder in which a person may face problems in interaction and communication with people, amongst other challenges. As per medical experts, ASD can be diagnosed at any stage or age but is often noticeable within the first two years of life. If caught early enough, therapies and services can be provided at this early stage instead of waiting until it is too late. ASD occurrences appear to have increased over the last couple of years leading to the need for more research in the field. It is crucial to provide researchers and clinicians with the most up-to-date information on the clinical features, etiopathogenesis, and therapeutic strategies for patients as well as to shed light on the other psychiatric conditions often associated with ASD. In addition, it is equally important to understand how to detect ASD in individuals for accurate diagnosing and early detection.

Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder discusses the early detection and diagnosis of autism spectrum disorder enabled by artificial intelligence technologies, applications, and therapies. This book will focus on the early diagnosis of ASD through artificial intelligence, such as deep learning and machine learning algorithms, for confirming diagnosis or suggesting the need for further evaluation of individuals. The chapters will also discuss the use of artificial intelligence technologies, such as medical robots, for enhancing the communication skills and the social and emotional skills of children who have been diagnosed with ASD. This book is ideally intended for IT specialists, data scientists, academicians, scholars, researchers, policymakers, medical practitioners, and students interested in how artificial intelligence is impacting the diagnosis and treatment of autism spectrum disorder.

From Social Data Mining and Analysis to Prediction and Community Detection

Автор: Mehmet Kaya; ?zcan Erdo?an; Jon Rokne
Название: From Social Data Mining and Analysis to Prediction and Community Detection
ISBN: 3319513664 ISBN-13(EAN): 9783319513669
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.

Citation-based Plagiarism Detection

Автор: Bela Gipp
Название: Citation-based Plagiarism Detection
ISBN: 3658063939 ISBN-13(EAN): 9783658063931
Издательство: Springer
Рейтинг:
Цена: 10448.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms.

From Social Data Mining and Analysis to Prediction and Community Detection

Автор: Kaya Mehmet, Erdoǧan Цzcan, Rokne Jon
Название: From Social Data Mining and Analysis to Prediction and Community Detection
ISBN: 3319846310 ISBN-13(EAN): 9783319846316
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.

Visual Event Detection

Автор: Niels Haering; Niels da Vitoria Lobo
Название: Visual Event Detection
ISBN: 1441949070 ISBN-13(EAN): 9781441949073
Издательство: Springer
Рейтинг:
Цена: 23751.00 р.
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.

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: 11179.00 р.
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.

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: 16769.00 р.
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.


ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
   В Контакте     В Контакте Мед  Мобильная версия