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Our work is motivated by an extensive study of data quality literature that revealed a lack of holistic solutions that encompass both business and technological aspects of data quality management.
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The inferential performance of this methodology is analyzed by means of an extensive study of simulated data and real data consisting of leukemia remission times.
But the 31 October article, based on an extensive study of U.S. government data and the existing literature, left some readers unconvinced and others outright angry.
To determine whether or not the resulting two-part thresholding scheme would perform well on real PET data, we executed an extensive study of realistic simulated dynamic PET data, as presented below.
First of all, we report results of an extensive study of causal orientation methods in genomics data that utilized 12 methods/variants to distinguish cause (transcription factor) from effect (target gene) in 5,739 causal interactions.
Second, we conduct an extensive study of BYOHs using our approach with real data collected over a year, and highlight several novel insights on the behavior of BYOHs.
Using a globally-distributed monitoring infrastructure, it performs an extensive study of the Gnutella filesharing network, characterizing its topology, data, and query workloads.
Therefore, an extensive study of these properties was required.
We present an extensive study based on realistic simulated RNA-Seq data.
Koikkalainen et al. [40] completed an extensive study on various developed methods of CAD system for detecting dementias using only structural MRI data.
In this section, we discuss the extensive study of integrating multiple informative fold data sources.
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