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Multidimensional data analysis and classification using SMIAL. [PDF]
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Research on Big Data Analysis Data Acquisition and Data Analysis
2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA), 2021Using big data analysis algorithm, this paper discusses the source of data acquisition, points out the technical characteristics of data source, and explains the data acquisition methods and requirements. Clear the purpose of big data analysis, build data analysis system, describe the process of data analysis. There are four steps in big data analysis:
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Graphics for data analysis [PDF]
Abstract In recent years, graphics has become an essential part of modern data analysis. It is particularly useful for interactive data analysis. This paper describes a system called CLOUDS which is designed to make available on inexpensive storage tube terminals a wide range of graphics tools related to data analysis, economics, and management ...
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Independent component analysis for noisy data — MEG data analysis
Neural Networks, 2000Independent component analysis (ICA) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such as electroencephalography (EEG), magnetic resonance imaging (MRI), and magnetoencephalography (MEG). However, many problems remain. In most cases, neurobiological data contain
Shiro Ikeda, Keisuke Toyama 0001
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Journal of Classification, 2003
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Movement Disorders Clinical Practice
What are statistics Good for in human research studies? Studies conducted on human beings may have different objectives and designs, but they all share some common principles. 1 We outline these principles as a cycle, shown in Figure 1. The first step is to obtain a sample from a population.
Santiago Perez‐Lloret +2 more
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What are statistics Good for in human research studies? Studies conducted on human beings may have different objectives and designs, but they all share some common principles. 1 We outline these principles as a cycle, shown in Figure 1. The first step is to obtain a sample from a population.
Santiago Perez‐Lloret +2 more
openaire +3 more sources

