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Missing value imputation Techniques: A Survey
UHD Journal of Science and Technology, 2023 Numerous of information is being accumulated and placed away every day. Big quantity of misplaced areas in a dataset might be a large problem confronted through analysts due to the fact it could cause numerous issues in quantitative investigates.
Wafaa Mustafa Hameed, Nzar A. Ali
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Data Reduction Techniques: A Comparative Study
Journal of Kufa for Mathematics and Computer, 2022 Data preprocessing in general and data reduction in specific represent the main steps in data mining techniques and algorithms since data in real world due to its vastness, the analysis will take a long time to complete .Almost all mining techniques ...
Ahmed AlKarawi, Kadhim AlJanabi
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Optimization of miRNA-seq data preprocessing. [PDF]
, 2015 The past two decades of microRNA (miRNA) research has solidified the role of these small non-coding RNAs as key regulators of many biological processes and promising biomarkers for disease.
McPherson, John D +2 more
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Pre-processing Agilent microarray data
BMC Bioinformatics, 2007 Background Pre-processing methods for two-sample long oligonucleotide arrays, specifically the Agilent technology, have not been extensively studied. The goal of this study is to quantify some of the sources of error that affect measurement of expression
Schaeffer Edward +7 more
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Preprocessing of audio data for voice transcription systems
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023 The object of study is the audio file transcription system. The article presents a study on the impact of using high-pass, low-pass, and bandpass filters on the process of transcribing audio files.
M. Drahan, A. Pysarenko
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, 2020 The massive growth in the scale of data has been observed in recent years, being a key factor of the Big Data scenario. Big Data can be defined as high volume, velocity, and variety of data that require a new high-performance processing. Addressing Big Data is a challenging and time-demanding task that requires a large computational infrastructure to ...
Luengo Martín, Julián +4 more
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Data Preprocessing Technology in Chemical Process Data Mining
Chemical Engineering Transactions, 2017 This paper studies the data preprocessing technology in chemical process data mining. It mainly studies the real-time chemical process data in-depth from the perspective of software development and explores various kinds of real-time data preprocessing ...
Feifei Yang
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protGear: A protein microarray data pre-processing suite
Computational and Structural Biotechnology Journal, 2021 Protein microarrays are versatile tools for high throughput study of the human proteome, but systematic and non-systematic sources of bias constrain optimal interpretation and the ultimate utility of the data.
Kennedy Mwai +12 more
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Making Queries Tractable on Big Data with Preprocessing [PDF]
, 2013 A query class is traditionally considered tractable if there exists a polynomial-time (PTIME) algorithm to answer its queries. When it comes to big data, however, PTIME al-gorithms often become infeasible in practice. A traditional and effective approach
Fan, Wenfei +2 more
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Preprocessing differential methylation hybridization microarray data
BioData Mining, 2011 Background DNA methylation plays a very important role in the silencing of tumor suppressor genes in various tumor types. In order to gain a genome-wide understanding of how changes in methylation affect tumor growth, the differential methylation ...
Sun Shuying +4 more
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