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A Survey on Multivariate Data Visualization Winnie Wing-Yi Chan Department of Computer Science and Engineering Hong Kong University of Science and Technology, Earthquakes are associated with negative events, such as large number of casualties, destruction of buildings and infrastructures, or emergence of tsunamis. In this ..., A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications., We compare leading Data Visualization tools with each other (Spotfire, Qlikview, Tableau) and with Microsofts Business Intelligence platform., Different Visualization Issues with Big Data Koushik Mondal Abstract We are midst of digital inclusion era, where different technologies around us, providing a wide ..., We examine principles of good data visualization, including some great and terrible examples, guidelines for human perception, focus on key variables, changes and ..., From choosing the right data store to charting libraries, Brian Grieg introduces the tools, techniques, and concepts behind data management in JavaScript., A comprehensive introduction to R programming, including processing, manipulating and analyzing data of various types, creating advanced visualizations,, There is a plethora of options when it comes to data visualisation, and these 15 common types are only the tip of the iceberg., In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from ...23072002 epub books 23072000 epub books
Multidimensional Data Visualization

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Multidimensional Data Visualization This book highlights recent developments in multidimensional data visualization, presentingaboth new methodsaandamodifications onaclassic techniques.aThroughout theabook, various aapplications ofamultidimensional data visualizationaare presented including itsauses inasocial sciences (economy, education, politics, psychology), environmetrics, andamedicine (ophthalmology, sport medicine, pharmacology, sleep medicine).The book provides recent research results in optimization-based visualization. Evolutionary algorithmsaand aatwo-level optimization method, based on combinatorial optimization and quadratic programming, are analyzed in detail. The performance of theseaalgorithms and theadevelopment of parallelaversionsaare discussed.Theautilization of newavisualization techniquesato improve theacapabilies ofaartificial neural networks (self-organizing maps, feed-forward networks)ais alsoadiscussed.The bookaincludesaover 100 detailedaimages presenting examples of the manyadifferent visualization techniques thatathe book presents.This book is intended for scientists and researchers inaany field of studyawhere complex andamultidimensionaladata must be represented visually."

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