Spatio-Temporal Graph Data Analytics

Download Spatio-Temporal Graph Data Analytics PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319677713
Total Pages : 103 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 103 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.

Applying Graph Theory in Ecological Research

Download Applying Graph Theory in Ecological Research PDF Online Free

Author :
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

Download Spatio-temporal Networks PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461449189
Total Pages : 83 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 83 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.

Spatiotemporal Data Analytics and Modeling

Download Spatiotemporal Data Analytics and Modeling PDF Online Free

Author :
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:

Journal on Data Semantics XI

Download Journal on Data Semantics XI PDF Online Free

Author :
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.

Analyzing Social Media Networks with NodeXL

Download Analyzing Social Media Networks with NodeXL PDF Online Free

Author :
Publisher : Morgan Kaufmann
ISBN 13 : 0123822300
Total Pages : 301 pages
Book Rating : 4.1/5 (238 download)

DOWNLOAD NOW!


Book Synopsis Analyzing Social Media Networks with NodeXL by : Derek Hansen

Download or read book Analyzing Social Media Networks with NodeXL written by Derek Hansen and published by Morgan Kaufmann. This book was released on 2010-09-14 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. - Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA - Demonstrates how visual analytics research can be applied to SNA tools for the mass market - Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis - Download companion materials and resources at https://nodexl.codeplex.com/documentation

Multimodal and Tensor Data Analytics for Industrial Systems Improvement

Download Multimodal and Tensor Data Analytics for Industrial Systems Improvement PDF Online Free

Author :
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:

Data Analytics and Machine Learning for Integrated Corridor Management

Download Data Analytics and Machine Learning for Integrated Corridor Management PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1040129668
Total Pages : 242 pages
Book Rating : 4.0/5 (41 download)

DOWNLOAD NOW!


Book Synopsis Data Analytics and Machine Learning for Integrated Corridor Management by : Yashawi Karnati

Download or read book Data Analytics and Machine Learning for Integrated Corridor Management written by Yashawi Karnati and published by CRC Press. This book was released on 2024-10-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes. From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.

Interactive Visual Data Analysis

Download Interactive Visual Data Analysis PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1351648748
Total Pages : 318 pages
Book Rating : 4.3/5 (516 download)

DOWNLOAD NOW!


Book Synopsis Interactive Visual Data Analysis by : Christian Tominski

Download or read book Interactive Visual Data Analysis written by Christian Tominski and published by CRC Press. This book was released on 2020-04-01 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features: Dedicated to the synthesis of visual, interactive, and analysis methods Systematic top-down view on visualization, interaction, and automatic analysis Broad coverage of fundamental and advanced visualization techniques Comprehensive chapter on interacting with visual representations Extensive integration of automatic computational methods Accessible portrayal of cutting-edge visual analytics technology Foreword by Jack van Wijk For more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.

Algorithms and Architectures for Parallel Processing

Download Algorithms and Architectures for Parallel Processing PDF Online Free

Author :
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.

Spatio-Temporal Statistics with R

Download Spatio-Temporal Statistics with R PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 0429649789
Total Pages : 397 pages
Book Rating : 4.4/5 (296 download)

DOWNLOAD NOW!


Book Synopsis Spatio-Temporal Statistics with R by : Christopher K. Wikle

Download or read book Spatio-Temporal Statistics with R written by Christopher K. Wikle and published by CRC Press. This book was released on 2019-02-18 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these "big data" that are available are spatio-temporal in nature, meaning that they can be indexed by their spatial locations and time stamps. Spatio-Temporal Statistics with R provides an accessible introduction to statistical analysis of spatio-temporal data, with hands-on applications of the statistical methods using R Labs found at the end of each chapter. The book: Gives a step-by-step approach to analyzing spatio-temporal data, starting with visualization, then statistical modelling, with an emphasis on hierarchical statistical models and basis function expansions, and finishing with model evaluation Provides a gradual entry to the methodological aspects of spatio-temporal statistics Provides broad coverage of using R as well as "R Tips" throughout. Features detailed examples and applications in end-of-chapter Labs Features "Technical Notes" throughout to provide additional technical detail where relevant Supplemented by a website featuring the associated R package, data, reviews, errata, a discussion forum, and more The book fills a void in the literature and available software, providing a bridge for students and researchers alike who wish to learn the basics of spatio-temporal statistics. It is written in an informal style and functions as a down-to-earth introduction to the subject. Any reader familiar with calculus-based probability and statistics, and who is comfortable with basic matrix-algebra representations of statistical models, would find this book easy to follow. The goal is to give as many people as possible the tools and confidence to analyze spatio-temporal data.

Comprehensive Geographic Information Systems

Download Comprehensive Geographic Information Systems PDF Online Free

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

Spatial Analysis

Download Spatial Analysis PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 1139991442
Total Pages : 453 pages
Book Rating : 4.1/5 (399 download)

DOWNLOAD NOW!


Book Synopsis Spatial Analysis by : Mark R. T. Dale

Download or read book Spatial Analysis written by Mark R. T. Dale and published by Cambridge University Press. This book was released on 2014-09-11 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, ecologists worldwide recognize the use of spatial analysis as essential. However, because of the fast-growing range of methods available, even an expert might occasionally find it challenging to choose the most appropriate one. Providing the ecological and statistical foundations needed to make the right decision, this second edition builds and expands upon the previous one by: • Encompassing the basic methods for spatial analysis, for both complete census and sample data • Investigating updated treatments of spatial autocorrelation and spatio-temporal analysis • Introducing detailed explanations of currently developing approaches, including spatial and spatio-temporal graph theory, scan statistics, fibre process analysis, and Hierarchical Bayesian analysis • Offering practical advice for specific circumstances, such as how to analyze forest Permanent Sample Plot data and how to proceed with transect data when portions of the data series are missing. Written for graduates, researchers and professionals, this book will be a valuable source of reference for years to come.

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

Download Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031703812
Total Pages : 517 pages
Book Rating : 4.0/5 (317 download)

DOWNLOAD NOW!


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

Download or read book Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Emerging Trends, Techniques, and Applications in Geospatial Data Science

Download Emerging Trends, Techniques, and Applications in Geospatial Data Science PDF Online Free

Author :
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 Knowledge Discovery in Databases: Applied Data Science and Demo Track

Download Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3031434307
Total Pages : 429 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!


Book Synopsis Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track by : Gianmarco De Francisci Morales

Download or read book Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track written by Gianmarco De Francisci Morales and published by Springer Nature. This book was released on 2023-09-16 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: ​Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: ​Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: ​Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: ​Robustness; Time Series; Transfer and Multitask Learning. Part VI: ​Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. ​Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo.

Advances in Artificial Systems for Medicine and Education III

Download Advances in Artificial Systems for Medicine and Education III PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3030391620
Total Pages : 497 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!


Book Synopsis Advances in Artificial Systems for Medicine and Education III by : Zhengbing Hu

Download or read book Advances in Artificial Systems for Medicine and Education III written by Zhengbing Hu and published by Springer Nature. This book was released on 2020-01-14 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the latest advances in the development of artificial intelligence systems and their applications in various fields, from medicine and technology to education. It comprises papers presented at the Third International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE2019), held at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1–3 October 2019. Covering topics such as mathematics and biomathematics; medical approaches; and technological and educational approaches, it is intended for the growing number of specialists and students in this field, as well as other readers interested in discovering where artificial intelligence systems can be applied in the future.