Results 1 to 10 of about 13,588,304 (249)
DataSHIELD: taking the analysis to the data, not the data to the analysis [PDF]
International Journal of Epidemiology, 2014 Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the
Gaye, Amadou +48 more
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Stock data analysis using sympbolic data analysis
CoRR, 2023 in French ...
Philippe Caillou, Edwin Diday
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Probabilistic Active Learning for Active Class Selection. [PDF]
, 2021 In machine learning, active class selection (ACS) algorithms aim to actively select a class and ask the oracle to provide an instance for that class to optimize a classifier's performance while minimizing the number of requests. In this paper, we propose
Sabsch, Tim +10 more
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Data Analysis of a Google Data Center [PDF]
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2018 Data collected from an operational Google data center during 29 days represent a very rich and very useful source of information for understanding the main features of a data center. In this paper, we highlight the strong heterogeneity of jobs. The distribution of job execution duration shows a high disparity, as well as the job waiting time before ...
Minet, Pascale +3 more
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Learning from incomplete data in Bayesian networks with qualitative influences [PDF]
, 2016 Domain experts can often quite reliably specify the sign of influences between variables in a Bayesian network. If we exploit this prior knowledge in estimating the probabilities of the network, it is more likely to be accepted by its users and may in ...
Sub Algorithmic Data Analysis +6 more
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Data Preprocessing and Intelligent Data Analysis
Intelligent Data Analysis, 1997 This paper first provides an overview of data preprocessing, focusing on problems of real world data. These are primarily problems that have to be carefully understood and solved before any data analysis process can start. The paper discusses in detail two main reasons for performing data preprocessing: (i) problems with the data and (ii) preparation ...
Fazel Famili +3 more
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns [PDF]
, 2016 We study how to obtain concise descriptions of discrete multivariate sequential data. In particular, how to do so in terms of rich multivariate sequential patterns that can capture potentially highly interesting (cor)relations between sequences.
Bertens, R. +11 more
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Analysis of neonatal mortality data for year 2016 [PDF]
, 2018 This report presents an analysis of neonatal mortality in infants born in 2016 at a gestational age (GA) less that 32 weeks, and who were admitted to neonatal units that form the UK Neonatal Collaborative in England, Wales and Scotland (part).
Longford, Nicholas, Modi, Neena
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Data Science Journal, 2013 The objective of this report is to highlight opportunities for enhancing global research data infrastructures from the point of view of data analysis. We discuss various directions and data-analysis functionalities for supporting such infrastructures.
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Temporal density extrapolation using a dynamic basis approach
, 2019 Density estimation is a versatile technique underlying many data mining tasks and techniques, ranging from exploration and presentation of static data, to probabilistic classification, or identifying changes or irregularities in streaming data.
Sub Algorithmic Data Analysis +4 more
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