Retracted: Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources by Zhaoya Chen, Wei Huang, Lijun Ma, Hao Xu, Yaheng Chen

“…The method in this paper is to establish the index evaluation system first, then carry out data preprocessing through GIS and RS technology, and finally use big data technology for data mining. According to the actual situation of land resources in China, Delphi method is used as the main qualitative technical analysis method to set a reasonable weight for the evaluation index system of land resources. …”
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Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM by Peipei Zeng, Shuimiao Kang, Shuimiao Kang, Fan Fan, Jiyuan Liu, Jiyuan Liu

“…Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect heart murmurs when the heart is structurally abnormal, to tell if a newborn has congenital heart disease. …”
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Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental-FEM-SVM Methodology by Zhi-Jun Lyu, PeiCai Zhao, Qi Lu, Qian Xiang, HongLiang Li

“…Taking, for example, the boltless steel connections, this paper proposes a data-driven simulation model (DDSM) that combines the experimental test, FEM, and support vector machine (SVM) techniques to determine the bending strength of BCCs by means of data mining from the engineering database. First, a three-dimensional (3D) finite element (FE) model was generated and calibrated against the experimental results. …”
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Solving Truthfulness-Privacy Trade-Off in Mixed Data Outsourcing by Using Data Balancing and Attribute Correlation-Aware Differential Privacy by Abdul Majeed, Seong Oun Hwang

“…In the modern era, data of diverse types (medical, financial, etc.) are outsourced from data owner environments to the public domains for data mining and knowledge discovery purposes. However, data often encompass sensitive information about individuals, and outsourcing the data without sufficient protection may endanger privacy. …”
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Optimal design for six-phase asymmetrical surface mount permanent magnet synchronous motor: An innovative approach considering fault tolerance and load variations for electric vehi... by Mahmoud Y. Mohamed, Ahmed Refaat, Ahmed Kalas, Ayman S. Abdel-Khalik, Shehab Ahmed, Mahmoud Fawzi

“…To effectively simulate the operational challenges in electric vehicles (EVs), data mining and clustering techniques are utilized to analyze and comprehend real-world drive cycle data. …”
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Molecular Characterization of Legionellosis Drug Target Candidate Enzyme Phosphoglucosamine Mutase from (strain Paris): An Approach by Anayet Hasan, Habibul Hasan Mazumder, Arif Khan, Mohammad Uzzal Hossain, Homaun Kabir Chowdhury

“…It has been found that phosphoglucosamine mutase, phosphomannomutase, and phosphoglyceromutase enzymes can be used as the most probable therapeutic drug targets through extensive data mining. Phosphoglucosamine mutase is involved in amino sugar and nucleotide sugar metabolism. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients by Yan Lv, Huijuan Chen, Zhiyan Sui, Yingliu Huang, Shixiong Huang, Feng Chen, Guoqiang Wen

“…The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. …”
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Uncovering antidepressant prescription patterns: a three-year analysis of outpatient trends by Hossein Karami, Reza Mehrizi, Mohammad Effatpanah, Azamsadat Rivandi, Rajabali Daroudi, Nezam Armand, Leila Ghamkhar

“…The data were processed via the cross-industry standard process for data mining and analyzed using a multivariate logistic regression model. …”
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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

“…So, the cell-id trajectory refinement has been recognized as challenging work to further facilitate trajectory data mining. This paper presents a comprehensive approach to identify cell-id trajectories of public service vehicles (PSVs) from large volume of trajectories and further refines these cell-id trajectories by a heuristic global optimization approach. …”
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Independent Component Analysis-Based Harmonic Transfer Impedance Estimation for Networks with Multiple Harmonic Sources by Mateus M. de Oliveira, Leandro R. M. Silva, Igor D. Melo, Carlos A. Duque, Paulo F. Ribeiro

“…To enhance the accuracy of HTI estimation, three procedures are employed for data mining the parameters provided by ICA over time to generate a well-conditioned system. …”
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Algorithms and Results of Eye Tissues Differentiation Based on RF Ultrasound by R. Jurkonis, A. Janušauskas, V. Marozas, D. Jegelevičius, S. Daukantas, M. Patašius, A. Paunksnis, A. Lukoševičius

“…The backscattered ultrasound signal parameters characterizing intraocular and orbit tissues were processed by decision tree data mining algorithm. The pilot trial proved that applied methods are able to correctly classify signals from corpus vitreum blood, extraocular muscle, and orbit tissues. …”
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Foodborne Event Detection Based on Social Media Mining: A Systematic Review by Silvano Salaris, Honoria Ocagli, Alessandra Casamento, Corrado Lanera, Dario Gregori

“…This review analyzed studies published up to December 2024 that utilized social media data and data mining to predict and prevent foodborne diseases. …”
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Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…The analysis employed Bibliometrix, Biblioshiny, and Microsoft Excel, incorporating the bibliometrix R package for data mining and analysis, and visualized the observed trends in bibliometrics.ResultsA total of 22,950 documents were collected in this study. …”
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PPARD May Play a Protective Role for Major Depressive Disorder by Tao Yang, Juhua Li, Liyuan Li, Xuehua Huang, Jiajun Xu, Xia Huang, Lijuan Huang, Kamil Can Kural

“…To explore the potential connection between PPARD and MDD, we first conducted a literature-based data mining to construct a PPARD-driven MDD regulating network. …”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

“…However, installation and data mining on a large number of meteorological stations require high cost and resources. …”
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QUALITY ASSESSMENT OF STUDENT COURSEWORKS: COMPETENCY-BASED APPROACH by T. M. Shamsutdinova

“…The content analysis of the Federal State Educational Standard of the Highest Education (FSES HE), the data mining technology and statistical methods of data processing were applied in the course of the present research. …”
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Predicting the delisted companies of Tehran Stock Exchange using machine learning based algorithms by Aminollah Zarghami, Meysam Doaei, Abtin Boostani

“…They were present in the stock market in the second group and were selected by systematic elimination method. Then, with data mining techniques, which are among the most efficient and up-to-date models of artificial intelligence, and with the help of multi-layered perceptron neural network classifiers, decision tree, and Bayesian theory classifiers, stock delisted companies have been predicted.Findings: The findings show that the Bayesian classifier had the best performance and the multilayer perceptron neural network was in the second place and the decision tree classifier was in the third place.Originality/Value: Little research has been done in the field of predicting delisted companies from the Iran capital market. …”
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Acromegaly: Is earlier diagnosis possible? Exploration of a screening algorithm to select high-risk patients by Tessa N.A. Slagboom, David de Jong, Peter H. Bisschop, Madeleine L. Drent

“…Purpose: Given the ongoing need to reduce the delay in diagnosis of acromegaly, the aim of the current study was to develop a screening algorithm that: finds as many patients as possible who have already been diagnosed with acromegaly (=sensitivity), while identifying a limited number of additional patients who are at risk for acromegaly as a proxy for specificity. Methods: CTcue data mining software (version 4.7, IQVIA Inc., USA) was used to develop a screening algorithm. …”
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Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics by Jonghwa Jin, Hophil Min, Sang Jin Kim, Sohee Oh, Kyunggon Kim, Hyeong Gon Yu, Taesung Park, Youngsoo Kim

“…First, to identify biomarker candidates that are specifically expressed in human vitreous, we performed data-mining on both previously published DR-related studies and our experimental data; 96 proteins were then selected. …”
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