Results 11 to 20 of about 531,551 (278)
Rodent Whole-Brain fMRI Data Preprocessing Toolbox [PDF]
Nan Xu +8 more
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Assessing the Impact of Data Preprocessing on Analyzing Next Generation Sequencing Data [PDF]
Data quality control and preprocessing are often the first step in processing next-generation sequencing (NGS) data of tumors. Not only can it help us evaluate the quality of sequencing data, but it can also help us obtain high-quality data for ...
Binsheng He +13 more
doaj +2 more sources
The paper deals with computation techniques applied in preprocessing of gravity data, which are based on time series analysis by using mathematical and statistical smoothing techniques such as moving average, moving median, cumulative and moving average,
Jana Izvoltova +3 more
doaj +1 more source
Data preprocessing for machine-learning-based adaptive data center transmission
To enable optical interconnect fluidity in next-generation data centers, we propose adaptive transmission based on machine learning in a wavelength-routing network. We consider programmable transmitters that can apply N possible code rates to connections
Kamran Keykhosravi +3 more
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Improving Pipelining Tools for Pre-processing Data.
The last several years have seen the emergence of data mining and its transformation into a powerful tool that adds value to business and research. Data mining makes it possible to explore and find unseen connections between variables and facts observed
María Novo Lourés +5 more
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Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review
As data size increases drastically, its variety also increases. Investigating such heterogeneous data is one of the most challenging tasks in information management and data analytics.
Ganesh Kumar +5 more
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Bayesian Networks for Preprocessing Water Management Data
Environmental data often present inconveniences that make modeling tasks difficult. During the phase of data collection, two problems were found: (i) a block of five months of data was unavailable, and (ii) no information was collected from the coastal ...
Rosa Fernández Ropero +2 more
doaj +1 more source
Improving Machine Learning Performance by Eliminating the Influence of Unclean Data [PDF]
Regardless of the data source and type (text, digital, photo group, etc.), they are usually unclean data. The term (unclean) means that data contains some bugs and paradoxes that can strongly impact machine learning processes.
Murtadha Ressan, Rehab Hassan
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Data pre-processing for analyzing microbiome data – A mini review
The human microbiome is an emerging research frontier due to its profound impacts on health. High-throughput microbiome sequencing enables studying microbial communities but suffers from analytical challenges.
Ruwen Zhou +4 more
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A Memory-Efficient Encoding Method for Processing Mixed-Type Data on Machine Learning
The most common machine-learning methods solve supervised and unsupervised problems based on datasets where the problem’s features belong to a numerical space.
Ivan Lopez-Arevalo +5 more
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