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Frontiers in Massive Data Analysis

in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data;

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New Frontiers in Mining Complex Patterns

developments in the analysis of complex and massive data sources, such as blogs, event or log data, medical data, spatio-temporal data, social networks;

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Frontiers in Data Science

of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it;

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Frontiers in Data Science

of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it;

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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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New Frontiers in Mining Complex Patterns

analysis, classification, clustering and pattern discovery, graphs, networks and relational data, machine learning and music data.;

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Statistical Learning and Data Sciences

its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.;

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Frontiers In Statistics

methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re;

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Frontiers In Statistics

methods, statistical learning, network tomography, longitudinal data analysis, financial econometrics, time series, bootstrap and other re;

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Innovative Data Communication Technologies and Application

This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state;

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Production Frontiers

This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. The authors;

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Production Frontiers

This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. The authors;

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Big Data Analytics

big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.;

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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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The Lives and Death-Throes of Massive Stars (IAU S329)

tools to interpret the conditions and processes arising in different environments. In parallel, the development of new instrumentation, analysis;

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Data Analysis in the Cloud

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital;

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Frontiers in Algorithmics and Algorithmic Aspects in Information and Management

in topical sections on algorithms and data structures, algorithmic game theory and incentive analysis, biomedical imaging algorithms, communication;

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Computer Engineering and Information Technology

covered in this book are data processing, data analysis techniques, software engineering, multimedia, etc. Those with an interest in the field;

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Frontiers of Digital Transformation

considering the insertion of acquisition, analysis, and implementation processes in the flow of data circulation. This book introduces the outcome;

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Cluster Analysis and Applications

analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;

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Cluster Analysis and Applications

analysis or data mining, with an in-depth mathematical treatment that includes discussions on different measures, primitives (points, lines, etc;

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Statistical Modeling in Biomedical Research

and biomedical science. It covers topics in: Next generation sequence data analysis Deep learning, precision medicine, and their;

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Modern Statistical Methods for Health Research

interactions of scholars across health research related disciplines. Topics covered include: Health data analysis and applications to EHR data;

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New Trends in Data Warehousing and Data Analysis

is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

The collection and analysis of data play an important role in many fields of science and technology, such as computational biology;

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Textual Data Science with R

package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for contigency tables. Each method;

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