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1
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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2
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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3
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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4
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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5
Data pre-processing for cardiovascular disease classification: A systematic literature review
Published 2023“…The literature review concludes that data reduction and data cleaning pre-processing techniques are mostly used in heart disease prediction systems. …”
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6
Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
Published 2023“…Clustering, known for its versatility in real-time data stream processing and independence from labeled instances, is a suitable method for analyzing evolving data streams. …”
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7
Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis / Hanafi.M.Yusop ...[et...
Published 2019“…Therefore, PCA and DWT were recommended as data pre-processing methods to improve cepstrum analysis result.…”
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8
Improvement real-time detection of moving vehicle in a dynamic scene using shadow removal method / Khairul Azman Ahmad, Mohd Halim Mohd Noor,Mohamad Adha Mohamad Idin
Published 2011“…There are four major steps in a background subtraction algorithm, which are pre-processing, background modeling, foreground detection, and data validation. …”
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9
A partition based feature selection approach for mixed data clustering / Ashish Dutt
Published 2020“…One such pre-processing algorithm in EDM is clustering. It is a widely used method in data mining to discover unique patterns in underlying data. …”
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10
Local and global measures for measuring performance of big data analytics process
Published 2019“…BDA process is an end-to-end process which consists of several stages including data acquisition, data preparation (integration and pre-processing), data analysis, visualization, and interpretation. …”
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11
Pre-online information searching model of doctoral students: a grounded theory approach / Azree Ahmad
Published 2015“…This study was conducted with the purpose of exploring the beginning stage in information searching process. As far as it is concerned, most would agree that information searching is a constructive and evolving process that has several stages. …”
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12
Data virtualization design model for near real time decision making in business intelligence environment
Published 2017“…ETL operates at pre-defined times and requires time to process and transfer data. …”
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13
Improvement of Cepstrum Analysis for the Purpose to Detect Leak, Feature and Its Location in Water Distribution System based on Pressure Transient Analysis
Published 2017“…Cepstrum analysis is proposed as a method to extract leak and pipe feature information from pressure transient signal by considering this method to analyse non-stationary data. Since in the real test, the originality and pure data are hard to be captured due to noise generated from environment and the noise level ratio is very low, pre-processing method as a filtering technique is implemented to analyse the real signal before the signal goes through cepstrum analysis as post-processing method. …”
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Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine
Published 2007“…The objective of the project is to finda solution to pre-process noisy signalfor sensors in Lab-on-a-Chip (LOC) and System-on-Chip (SOC) technologies. …”
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15
Predicting battery health for energy storage and electric vehicles systems by integrating EMD signal processing and machine learning
Published 2025“…This research establishes the two-stage SVM_EMD framework as a robust, low-complexity, and highly effective solution for enhancing the reliability and longevity of batteries in real-world applications, underscoring the vital importance of dedicated signal pre-processing in battery prognostics.…”
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Predictive Framework for Imbalance Dataset
Published 2012“…The existing data pre-processing and classification methodologies have been adapted in this research. …”
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Optimized clustering with modified K-means algorithm
Published 2021“…Besides, huge data often face with correlated variables which lead to incorrect clustering process. …”
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18
Robust memory-type control charts for monitoring location parameter under non-normal data
Published 2025“…The findings offer practitioners feasible alternative charts for monitoring processes when the underlying data deviate from normality.…”
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19
Template neural particle optimization for vehicle license plate recognition
Published 2015“…Pre-processing is an initial step in image processing to improve image quality for more suitability in visualizing perception or computational processing while filtering is required to solve contrast enhancement, noise suppression, blurry issue and data reduction. …”
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20
Real time waste material detection using region-based convolutional neural network (RCNN) / Mohammad Aiman Haziq Mohd Hudzir
Published 2019“…Next, the dataset will undergo pre-processing that creates bound box around the images. …”
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