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Big Visual Data Analysis

This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene;

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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Low Rank and Sparse Modeling for Visual Analysis

and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links;

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Interactive Visual Data Analysis

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;

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Interactive Visual Data Analysis

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;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;

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Big Data Visualization

big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who;

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Fundamentals of Big Data Network Analysis for Research and Industry

Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;

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Advances in Big Data Analytics

of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines;

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Big Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers;

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Big Data Analysis: New Algorithms for a New Society

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers;

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Big Data Analytics (Database Management Systems)

Big data is a broad term that defines the structured or unstructured data sets. It is a challenging field which includes analysis, transfer;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;

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Handbook of Big Data Analytics: Methodologies

analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;

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Hybrid Artificial Intelligent Systems

computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;

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Hybrid Artificial Intelligent Systems

computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;

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Obtaining Value from Big Data for Service Systems, Volume II

Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization;

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Big Data

as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data;

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Social Big Data Mining

processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;

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Social Big Data Mining

processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;

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Big Data Fundamentals

intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built;

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Data Mining and Big Data

organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data;

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Advances in Big Data Analytics

Data and Risk Analysis Late Breaking Papers and Position Papers: Big Data Analytics and Related Issues;

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The Rise of Big Spatial Data

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical;

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