Results 231 to 240 of about 531,551 (278)
Some of the next articles are maybe not open access.
2022
This chapter considers how to measure and ensure fairness of your dataset, in terms of privacy and discrimination against sensitive groups. It demonstrates that simply removing identifiers is not enough to avoid being able to re-identify someone. Privacy can be defined and enhanced by making the dataset k-anonymous, l-diverse or t-close, so as to ...
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This chapter considers how to measure and ensure fairness of your dataset, in terms of privacy and discrimination against sensitive groups. It demonstrates that simply removing identifiers is not enough to avoid being able to re-identify someone. Privacy can be defined and enhanced by making the dataset k-anonymous, l-diverse or t-close, so as to ...
openaire +1 more source
2018
It is hard for raw industrial data accumulated by commonly implemented supervisory control and data acquisition (SCADA) system on-site to be directly employed to construct a prediction model, given that such data are always mixed with high level noise, missing points, and outliers due to the possible real-time database malfunction, data transformation,
Jun Zhao, Wei Wang, Chunyang Sheng
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It is hard for raw industrial data accumulated by commonly implemented supervisory control and data acquisition (SCADA) system on-site to be directly employed to construct a prediction model, given that such data are always mixed with high level noise, missing points, and outliers due to the possible real-time database malfunction, data transformation,
Jun Zhao, Wei Wang, Chunyang Sheng
openaire +1 more source
Automated preprocessing of environmental data
Future Generation Computer Systems, 2015In this article we discuss automated preprocessing of environmental data for further use. Environmental data is by default heterogeneous, as it may consist of data from sources such as weather stations, weather radars, chemical sensors, acoustic sensors, and off-line laboratory analysis.
Mauno Rönkkö +3 more
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1990
Data received from a satellite require special handling before they can be used. Data from differennt instruments are sampled at different rates, multiplexed (combined) into a single bit-stream, and recorded or transmitted to a receiving station in a compact format.
P. Krishna Rao +4 more
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Data received from a satellite require special handling before they can be used. Data from differennt instruments are sampled at different rates, multiplexed (combined) into a single bit-stream, and recorded or transmitted to a receiving station in a compact format.
P. Krishna Rao +4 more
openaire +1 more source
2010
In this book, we provide tools that are needed to investigate administrative and clinical databases that are routinely collected in the support of patient treatment. Often, these databases are large and require non-traditional methodology to investigate.
Patricia Cerrito, John Cerrito
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In this book, we provide tools that are needed to investigate administrative and clinical databases that are routinely collected in the support of patient treatment. Often, these databases are large and require non-traditional methodology to investigate.
Patricia Cerrito, John Cerrito
openaire +1 more source
Robust Techniques for Data Preprocessing
1996A summary on numerical cartography and digital photogrammetry, taking into account also some aspect of GIS’s and image processing, is presented, in order to list the principal problems of spatially referenced data analysis.
BROVELLI, MARIA ANTONIA +3 more
openaire +2 more sources
2010
Medicare data provide information that hospitals submit for billing purposes, Medpar, or Medicare Provider Analysis and Review. It is publicly available (for a fee) at http://www.cms.hhs.gov/Limited- DataSets/02_MEDPARLDSHospitalNational.asp. There are multiple forms in Medicare data and we provide the SAS code on how to “unpack” the different forms ...
Patricia Cerrito, John Cerrito
openaire +1 more source
Medicare data provide information that hospitals submit for billing purposes, Medpar, or Medicare Provider Analysis and Review. It is publicly available (for a fee) at http://www.cms.hhs.gov/Limited- DataSets/02_MEDPARLDSHospitalNational.asp. There are multiple forms in Medicare data and we provide the SAS code on how to “unpack” the different forms ...
Patricia Cerrito, John Cerrito
openaire +1 more source
An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly