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Data Mining Techniques in Decision Making
Published 2023-07-01“… Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. …”
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Data augmentation for numerical data from manufacturing processes: an overview of techniques and assessment of when which techniques work
Published 2025-01-01“…A significant challenge in ML applications is obtaining sufficient training data, which data augmentation aims to address. While widely applied to image, text, and sound data, data augmentation for numerical data in manufacturing has seen limited investigation. …”
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Data Augmentation Techniques for fMRI Data: A Technical Survey
Published 2025-01-01“…In this technical survey, we outline the main existing techniques for augmenting fMRI data, primarily represented as image, time series, and graph data. …”
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Data Mining Classification Techniques for Diabetes Prediction
Published 2021-05-01“…The fact that disease recognition and investigation require many details, data mining plays a critical role in healthcare. …”
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Design and analysis of a small satellite design hosting lidar sensor for data acquisition aimed at environmental protection
Published 2024-01-01“…This study presents the design and analysis of a small satellite design hosting a Lidar sensor for data acquisition aimed at environmental protection. …”
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Application of Data Mining Techniques on Tourist Expenses in Malaysia
Published 2021-03-01“…Besides that, this paper implementation of 4 data mining classification techniques was experimented for extracting important insights from the tourism data set. …”
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Data Mining Techniques for Iraqi Biochemical Dataset Analysis
Published 2022-04-01“… This research aims to analyze and simulate biochemical real test data for uncovering the relationships among the tests, and how each of them impacts others. …”
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Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data
Published 2025-01-01“…Future research may explore deep learning techniques for handling missing data in environmental datasets like EPI.…”
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Analysis of City Demographics in Turkiye Using Data Mining Techniques
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Machine Learning Techniques and Recommender Systems for Large Educational Data
Published 2024-12-01“…This study aims to proposed recommendations for e-learning courses based on user assessments so to achieve this aim, we need to apply a collaborative filtering technique. …”
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Data Mining Techniques for Wireless Sensor Networks: A Survey
Published 2013-07-01“…This challenge motivates the research community to explore novel data mining techniques dealing with extracting knowledge from large continuous arriving data from WSNs. …”
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Cyclical hybrid imputation technique for missing values in data sets
Published 2025-02-01“…In this study, we propose a new algorithm that has been tested on many datasets to address the problems caused by missing data imputation in the dataset. The algorithm aims to impute missing values more effectively by using row-based and column-based imputation techniques together and cyclically. …”
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Aiming at reproducibility in lining canvas paintings
Published 2019-09-01“…This paper describes a process started in 2011 with the use of the “mist lining” technique for a large painting by Titian, conserved in Venice uncontrolled environment. …”
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The focal group as a technique for data collection and analysis in qualitative research
Published 2011-10-01“…With the aim of extending its use and to constitute the participants as active subjects of nursing research, the present study aimed at examining the focal group as a technique for data collection and analysis of qualitative data. …”
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Data mining techniques for the study of online learning from an extended approach
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Data Dissemination Techniques for Internet of Things Applications: Research Challenges and Opportunities
Published 2024-12-01“…A noticeable gap in existing literature prompts a critical review, specifically addressing challenges and opportunities in IoT data dissemination techniques. This paper aims to categorize and analyze existing data dissemination techniques, highlighting their strengths and limitations. …”
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Odor classification: Exploring feature performance and imbalanced data learning techniques.
Published 2025-01-01“…The proposed resampling techniques and cost-sensitive model outperform the results of previous studies. …”
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Educational data mining: factors influencing medical student success and the exploration of visualization techniques
Published 2024-12-01“…ObjectivesMedical student education is critical in equipping future doctors to impact patient healthcare and the national public health system significantly. This study aimed to identify factors influencing student academic success (honors level or high-grade group) among medical students using data mining techniques applied to multidimensional educational data.Materials and methodsA retrospective cohort study was conducted using a standardized questionnaire administered to 145 medical students. …”
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A systematic review of privacy-preserving techniques for synthetic tabular health data
Published 2025-03-01Get full text
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