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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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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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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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and learning among unconstrained visual data. The book includes chapters covering multiple emerging topics in this new field. It links;
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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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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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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 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 Hyunjoung Lee, Institute of Green Technology, Yonsei University;
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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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This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers;
Vergelijkbare producten zoals 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 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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analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;
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analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;
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computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;
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computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a;
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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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processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;
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processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis;
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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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organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data;
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Data and Risk Analysis Late Breaking Papers and Position Papers: Big Data Analytics and Related Issues;
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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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