Spatio Temporal Graph Data Analytics

Download Spatio Temporal Graph Data Analytics full books in PDF, epub, and Kindle. Read online Spatio Temporal Graph Data Analytics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Spatio-Temporal Graph Data Analytics

Author : Venkata M. V. Gunturi
Publisher : Springer
ISBN 13 : 3319677713
Total Pages : 100 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Spatio-Temporal Graph Data Analytics by : Venkata M. V. Gunturi

Download or read book Spatio-Temporal Graph Data Analytics written by Venkata M. V. Gunturi and published by Springer. This book was released on 2017-12-15 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms. The authors discuss in the first part of this book, the semantic aspects of spatio-temporal graph data in two application domains, viz., urban transportation and social networks. Then the authors present representational models and data structures, which can effectively capture these semantics, while ensuring support for computationally scalable algorithms. In the first part of the book, the authors describe algorithmic development issues in spatio-temporal graph data. These algorithms internally use the semantically rich data structures developed in the earlier part of this book. Finally, the authors introduce some upcoming spatio-temporal graph datasets, such as engine measurement data, and discuss some open research problems in the area. This book will be useful as a secondary text for advanced-level students entering into relevant fields of computer science, such as transportation and urban planning. It may also be useful for researchers and practitioners in the field of navigational algorithms.

Spatiotemporal Data Analytics and Modeling

Author : John A
Publisher : Springer Nature
ISBN 13 : 9819996511
Total Pages : 253 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Spatiotemporal Data Analytics and Modeling by : John A

Download or read book Spatiotemporal Data Analytics and Modeling written by John A and published by Springer Nature. This book was released on with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applying Graph Theory in Ecological Research

Author : Mark R.T. Dale
Publisher : Cambridge University Press
ISBN 13 : 110708931X
Total Pages : 355 pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Applying Graph Theory in Ecological Research by : Mark R.T. Dale

Download or read book Applying Graph Theory in Ecological Research written by Mark R.T. Dale and published by Cambridge University Press. This book was released on 2017-11-09 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.

Spatio-temporal Networks

Author : Betsy George
Publisher : Springer Science & Business Media
ISBN 13 : 1461449189
Total Pages : 73 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis Spatio-temporal Networks by : Betsy George

Download or read book Spatio-temporal Networks written by Betsy George and published by Springer Science & Business Media. This book was released on 2012-09-05 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must meet the conflicting requirements of simplicity and adequate support for efficient algorithms. Another challenge is to address the change in the semantics of common graph operations, such as, shortest path computation assuming different semantics, or when temporal dimension is added. Also paradigms (e.g. dynamic programming) used in algorithm design may be ineffective since their assumptions (e.g. stationary ranking of candidates) may be violated by the dynamic nature of STNs. In recent years, STNs have attracted attention in research. New representations have been proposed along with algorithms to perform key STN operations, while accounting for their time dependence. Designing a STN database would require the development of data models, query languages, and indexing methods to efficiently represent, query, store, and manage time-variant properties of the network. The purpose of Spatio-temporal Networks: Modeling and Algorithms is to explore this design at the conceptual, logical, and physical level. Models used to represent STNs are explored and analyzed. STN operations, with an emphasis on their altered semantics with the addition of temporal dimension, are also addressed.

Journal on Data Semantics XI

Author : Philippe Thiran
Publisher : Springer Science & Business Media
ISBN 13 : 3540921478
Total Pages : 248 pages
Book Rating : 4.5/5 (49 download)

DOWNLOAD NOW!

Book Synopsis Journal on Data Semantics XI by : Philippe Thiran

Download or read book Journal on Data Semantics XI written by Philippe Thiran and published by Springer Science & Business Media. This book was released on 2008-12-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence. Volume XI contains extended versions of eight revised and selected papers from several international workshops in the field, which took place in 2006.

Multimodal and Tensor Data Analytics for Industrial Systems Improvement

Author : Nathan Gaw
Publisher : Springer Nature
ISBN 13 : 3031530926
Total Pages : 388 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Multimodal and Tensor Data Analytics for Industrial Systems Improvement by : Nathan Gaw

Download or read book Multimodal and Tensor Data Analytics for Industrial Systems Improvement written by Nathan Gaw and published by Springer Nature. This book was released on with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mobility Analytics for Spatio-Temporal and Social Data

Author : Christos Doulkeridis
Publisher : Springer
ISBN 13 : 3319735217
Total Pages : 186 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Mobility Analytics for Spatio-Temporal and Social Data by : Christos Doulkeridis

Download or read book Mobility Analytics for Spatio-Temporal and Social Data written by Christos Doulkeridis and published by Springer. This book was released on 2018-01-05 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the First International Workshop on Mobility Analytics for Spatio-Temporal and Social Data, MATES 2017, held in Munich, Germany, in September 2017. The 6 revised full papers and 2 short papers included in this volume were carefully reviewed and selected from 13 submissions. Also included are two keynote speeches. The papers intend to raise awareness of real-world problems in critical domains which require novel data management solutions. They are organized in two thematic sections: social network analytics and applications, and spatio-temporal mobility analytics.

Recent Advances in Knowledge Management

Author : Muhammad Mohiuddin
Publisher : BoD – Books on Demand
ISBN 13 : 1839699426
Total Pages : 180 pages
Book Rating : 4.8/5 (396 download)

DOWNLOAD NOW!

Book Synopsis Recent Advances in Knowledge Management by : Muhammad Mohiuddin

Download or read book Recent Advances in Knowledge Management written by Muhammad Mohiuddin and published by BoD – Books on Demand. This book was released on 2022-10-19 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Knowledge Management investigates the multidimensional aspects of knowledge management by exploring different perspectives and practices as well as existing theories of effective knowledge management in a changing world. Chapters address such topics as tacit knowledge, knowledge management frameworks, informally structured domains of knowledge management, and more. Beyond understanding the nature of knowledge management processes in different kinds of organizations, this book examines the nature of knowledge management focusing on what we know and how we know it.

Temporal and Spatio-Temporal Data Mining

Author : Hsu, Wynne
Publisher : IGI Global
ISBN 13 : 1599043890
Total Pages : 292 pages
Book Rating : 4.5/5 (99 download)

DOWNLOAD NOW!

Book Synopsis Temporal and Spatio-Temporal Data Mining by : Hsu, Wynne

Download or read book Temporal and Spatio-Temporal Data Mining written by Hsu, Wynne and published by IGI Global. This book was released on 2007-07-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.

Maritime Informatics

Author : Mikael Lind
Publisher : Springer Nature
ISBN 13 : 3030508927
Total Pages : 431 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Maritime Informatics by : Mikael Lind

Download or read book Maritime Informatics written by Mikael Lind and published by Springer Nature. This book was released on 2020-11-14 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first book on Maritime Informatics describes the potential for Maritime Informatics to enhance the shipping industry. It examines how decision making in the industry can be improved by digital technology, and introduces the technology required to make Maritime Informatics a distinct and valuable discipline. Based on participating in EU funded research over the last six years to improve the shipping industry, the editors stipulate that there is a need for the new discipline of Maritime Informatics, which studies the application of information systems to increasing the efficiency, safety, and ecological sustainability of the world’s shipping industry. This book examines competition and collaboration between shipping companies, and also companies who serve shipping needs, such as ports and terminals. Practical examples from leading experts give the reader real world examples for better understanding.

Algorithms and Architectures for Parallel Processing

Author : Sheng Wen
Publisher : Springer Nature
ISBN 13 : 303038991X
Total Pages : 725 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Algorithms and Architectures for Parallel Processing by : Sheng Wen

Download or read book Algorithms and Architectures for Parallel Processing written by Sheng Wen and published by Springer Nature. This book was released on 2020-01-21 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2019, held in Melbourne, Australia, in December 2019. The 73 full and 29 short papers presented were carefully reviewed and selected from 251 submissions. The papers are organized in topical sections on: Parallel and Distributed Architectures, Software Systems and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation.

Comprehensive Geographic Information Systems

Author :
Publisher : Elsevier
ISBN 13 : 0128047933
Total Pages : 1488 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Comprehensive Geographic Information Systems by :

Download or read book Comprehensive Geographic Information Systems written by and published by Elsevier. This book was released on 2017-07-21 with total page 1488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources

Big Data Analytics for Time-Critical Mobility Forecasting

Author : George A. Vouros
Publisher : Springer Nature
ISBN 13 : 303045164X
Total Pages : 361 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics for Time-Critical Mobility Forecasting by : George A. Vouros

Download or read book Big Data Analytics for Time-Critical Mobility Forecasting written by George A. Vouros and published by Springer Nature. This book was released on 2020-06-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating and noisy data streams from moving entities, correlating them with data from archived data sources expressing e.g. entities’ characteristics, geographical information, mobility patterns, mobility regulations and intentional data. The book is divided into six parts: Part I discusses the motivation and background of mobility forecasting supported by trajectory-oriented analytics, and includes specific problems and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and processing, and presents novel technologies suitable for mobility analytics components. Next, Part III describes solutions toward processing and managing big spatio-temporal data, particularly enriching data streams and integrating streamed and archival data to provide coherent views of mobility, and storing of integrated mobility data in large distributed knowledge graphs for efficient query-answering. Part IV focuses on mobility analytics methods exploiting (online) processed, synopsized and enriched data streams as well as (offline) integrated, archived mobility data, and highlights future location and trajectory prediction methods, distinguishing between short-term and more challenging long-term predictions. Part V examines how methods addressing data management, data processing and mobility analytics are integrated in big data architectures with distinctive characteristics compared to other known big data paradigmatic architectures. Lastly, Part VI covers important ethical issues that research on mobility analytics should address. Providing novel approaches and methodologies related to mobility detection and forecasting needs based on big data exploration, processing, storage, and analysis, this book will appeal to computer scientists and stakeholders in various application domains.

Emerging Trends, Techniques, and Applications in Geospatial Data Science

Author : Gaur, Loveleen
Publisher : IGI Global
ISBN 13 : 1668473216
Total Pages : 324 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Emerging Trends, Techniques, and Applications in Geospatial Data Science by : Gaur, Loveleen

Download or read book Emerging Trends, Techniques, and Applications in Geospatial Data Science written by Gaur, Loveleen and published by IGI Global. This book was released on 2023-04-24 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications

Author : Om Prakash Jena
Publisher : CRC Press
ISBN 13 : 1000533972
Total Pages : 332 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications by : Om Prakash Jena

Download or read book Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications written by Om Prakash Jena and published by CRC Press. This book was released on 2022-02-25 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments. This book aims to endow different communities with the innovative advances in theory, analytical results, case studies, numerical simulation, modeling, and computational structuring in the field of ML/DL models for healthcare applications. It will reveal different dimensions of ML/DL applications and will illustrate their use in the solution of assorted real-world biomedical and healthcare problems. Features: Covers the fundamentals of ML and DL in the context of healthcare applications Discusses various data collection approaches from various sources and how to use them in ML/DL models Integrates several aspects of AI-based computational intelligence such as ML and DL from diversified perspectives which describe recent research trends and advanced topics in the field Explores the current and future impacts of pandemics and risk mitigation in healthcare with advanced analytics Emphasizes feature selection as an important step in any accurate model simulation where ML/DL methods are used to help train the system and extract the positive solution implicitly This book is a valuable source of information for researchers, scientists, healthcare professionals, programmers, and graduate-level students interested in understanding the applications of ML/DL in healthcare scenarios. Dr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at the School of Engineering and Technology, Sharda University, Greater Noida, India. Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.

Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Author : Yuxiao Dong
Publisher : Springer Nature
ISBN 13 : 3030865142
Total Pages : 579 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track by : Yuxiao Dong

Download or read book Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track written by Yuxiao Dong and published by Springer Nature. This book was released on 2021-09-09 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Spatial Data and Intelligence

Author : Gang Pan
Publisher : Springer Nature
ISBN 13 : 3030854620
Total Pages : 262 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Spatial Data and Intelligence by : Gang Pan

Download or read book Spatial Data and Intelligence written by Gang Pan and published by Springer Nature. This book was released on 2021-08-14 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Conference on Spatial Data and Intelligence, SpatialDI 2021, which was held during April 22-24, 2021 in Hangzhou, China. The 14 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 72 submissions. They are organized in the topical sections named: traffic management, data science, and city analysis.