Results 1 to 10 of about 248,320 (248)

Preprocessing of Gravity Data

Computation, 2022
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, Dasa Bacova, Jakub Chromcak, Stanislav Hodas   +3 more
doaj   +2 more sources

Influence of Data Preprocessing

Journal of Computing Science and Engineering, 2016
In this paper, we research the influence of data preprocessing. We conclude that using different preprocessing methods leads to different classification performances. Moreover, not all data preprocessing methods are necessary, and a criterion is given to make sure which data preprocessing is necessary and which one is effective.
Changming Zhu, Daqi Gao
exaly   +3 more sources

Rodent Whole-Brain fMRI Data Preprocessing Toolbox [PDF]

Aperture Neuro, 2023
Nan Xu, Sam Larson, Leo Zhang, Zengmin Li, Nmachi Anumba, Lauren Daley, Wen-Ju Pan, Kai-Hsiang Chuang, Shella D. Keilholz   +8 more
doaj   +2 more sources

Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data [PDF]

Frontiers in Oncology, 2020
Integrative, single-cell analyses may provide unprecedented insights into cellular and spatial diversity of the tumor microenvironment. The sparsity, noise, and high dimensionality of these data present unique challenges.
Lauren L. Hsu, Lauren L. Hsu, Aedin C. Culhane, Aedin C. Culhane   +3 more
doaj   +2 more sources

Assessing the Impact of Data Preprocessing on Analyzing Next Generation Sequencing Data [PDF]

Frontiers in Bioengineering and Biotechnology, 2020
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, Rongrong Zhu, Huandong Yang, Qingqing Lu, Weiwei Wang, Lei Song, Xue Sun, Guandong Zhang, Shijun Li, Jialiang Yang, Jialiang Yang, Geng Tian, Pingping Bing, Jidong Lang   +13 more
doaj   +2 more sources

Data preprocessing for machine-learning-based adaptive data center transmission

ICT Express, 2022
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, Ahad Hamednia, Houman Rastegarfar, Erik Agrell   +3 more
doaj   +1 more source

Improving Pipelining Tools for Pre-processing Data.

International Journal of Interactive Multimedia and Artificial Intelligence, 2022
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, Yeray Lage, Reyes Pavón, Rosalía Laza, David Ruano Ordás, José Ramón Méndez   +5 more
doaj   +1 more source

Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review

Applied Sciences, 2021
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, Shuib Basri, Abdullahi Abubakar Imam, Sunder Ali Khowaja, Luiz Fernando Capretz, Abdullateef Oluwagbemiga Balogun   +5 more
doaj   +1 more source

Data Preprocessing Toolkit : An Approach to Automate Data Preprocessing

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
-Data Pre-processing transforms the data into a format that is more easily and effectively processed in data mining, machine learning, and other data science tasks. The Data Pre-processing techniques are generally used at the earlier stages of the machine learning and AI development pipeline to ensure accurate results.
Deepak Varma, Alwala Nehansh, P Swathy
openaire   +1 more source

Bayesian Networks for Preprocessing Water Management Data

Mathematics, 2022
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, María Julia Flores, Rafael Rumí   +2 more
doaj   +1 more source