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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Spatiotemporal Data Analysis

analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced;

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Hierarchical Modeling and Analysis for Spatial Data

Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first;

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Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics

information systems (GIS), spatiotemporal data analytics, text mining and semantic analysis, machine learning, trajectory data analysis, and;

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Spatiotemporal Analysis of Air Pollution and Its Application in Public Health

Spatiotemporal Analysis of Air Pollution and Its Application in Public Health reviews, in detail, the tools needed to understand the;

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Circular Data Bayesian Modeling

is provided. Finally, two applications of the measurement error model for circular data in a spatial and in a dynamic spatiotemporal context are;

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Geographic Data Mining and Knowledge Discovery

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the;

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Big Data Application in Power Systems

approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories;

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Spatiotemporal Analysis of Deformable Contours

It is common to employ a shape model or motion model for the analysis of non-rigid motion. However, adequate amount of information about;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Statistical Techniques for Neuroscientists

of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ;

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Data Fusion and Data Mining for Power System Monitoring

fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved;

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Data Fusion and Data Mining for Power System Monitoring

fusion techniques are reviewed, with emphasis on the analysis and visualization of massive distributed data sets. Challenges involved;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Bayesian Disease Mapping

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the;

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Spatial and Spatiotemporal Econometrics

This volume focuses on econometric models that confront estimation and inference issues occurring when sample data exhibit spatial or;

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Spatial Analysis with R

Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data;

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Web-Age Information Management

2016, held in Nanchang, China, in June 2016.The three workshops were as follows: * The International Workshop on Spatiotemporal Data;

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Spatial Synthesis

research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals' economic behavior in space and;

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Spatiotemporal Random Fields

, with particular emphasis on space-time determination and interpretation, spatiotemporal analysis and modeling, random field geometry, random;

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Modern Spatiotemporal Geostatistics

, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables. 2000 edition.;

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Data Mining

, spatiotemporal data, and graph/networks), data mining applications (such as sentiment analysis, truth discovery, and information propagattion), data;

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Spatial Data Mining

spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and;

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Spatiotemporal Modeling of Cancer Immunotherapy

-ICI model. Spatiotemporal Modeling of Cancer Immunotherapy: Partial Differential Equation Analysis in R facilitates the use of the model;

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