Results 261 to 270 of about 14,606,600 (299)

Prevalence and occupational risk of hip osteoarthritis and rotator cuff lesions - claims data analysis. [PDF]

Int J Occup Med Environ Health
Hagenström K, Müller K, Klinger T, Augustin M, Nienhaus A.   +4 more
europepmc   +1 more source

Clinical Care Interaction and Patient Sleep in the Intensive Care Unit: A Secondary Data Analysis. [PDF]

Nurs Crit Care
Islam A, Delaney L.
europepmc   +1 more source

REDAC: RNA-seq expression data analysis chatbot. [PDF]

Bioinform Adv
De Filippis GM, Sahu P, Ambrosio P, Picascia S, Lo Monte M, Agliarulo I, Di Paola S, Russo C, Tommasino C, Normanno N, Frezzetti D, Parashuraman S, Rinaldi AM, Russo F.   +13 more
europepmc   +1 more source

[Exploratory data analysis].

La Medicina del lavoro, 1988
M. Braga, P.G. Duca
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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), 2021
Using 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:
openaire   +1 more source

Graphics for data analysis [PDF]

Computers & Graphics, 1976
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, 2000
Independent 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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Spectral analysis of data

Proceedings of the thirty-third annual ACM symposium on Theory of computing, 2001
Experimental evidence suggests that spectral techniques are valuable for a wide range of applications. A partial list of such applications include (i) semantic analysis of documents used to cluster documents into areas of interest, (ii) collaborative filtering --- the reconstruction of missing data items, and (iii) determining the relative importance ...
Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia   +4 more
openaire   +1 more source