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methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed;
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. * Provides a supplementary website featuring links to download the SODAS software developed exclusively for symbolic data analysis, data sets, and;
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methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed;
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Data Analysis, Learning Symbolic & Numeric Knowledge Proceedings Of The Conference On Data Analysis, Learning Symbolic & Numeric Knowledge;
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and to attract original research papers. This volume in the Lecture Series on Computer and Computational Sciences contains the extended;
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The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from;
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, China, in July 2019. The 11 full papers presented and 2 demo-tool papers, were carefully reviewed and selected from 29 submissions;
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software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;
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latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review;
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Many forms of chemical experimentation generate data needing analysis and interpretation in respect of the goals of the experiment and also;
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Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed;
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training in data analysis and statistics, the Guide takes over where the image analysis software that accompanies DNA array equipment typically;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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This volume gathers peer-reviewed contributions on data analysis, classification and related areas presented at the 28th Conference of the;
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volume presents new approaches and methods to knowledge sharing, brain mapping, data integration, and data storage. The author describes how to;
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on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with;
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expert in the field - focuses on the analysis of experimental data obtained in a laboratory setting and the fitting of data and modeling;
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in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical;
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in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical;
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application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using;
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