Modelling Laser Milling of Microcavities for the Manufacturing of DES with Ensembles by Pedro Santos, Daniel Teixidor, Jesus Maudes, Joaquim Ciurana

“…In total, 162 different conditions are tested in a process that is modeled with the following state-of-the-art data-mining regression techniques: Support Vector Regression, Ensembles, Artificial Neural Networks, Linear Regression, and Nearest Neighbor Regression. …”
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Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis by Ling-Yun Dai, Rong Zhu, Juan Wang

“…The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. …”
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Data-Driven Decision Algorithm for Open Caisson Foundation Construction by Wei Tian, Hao Li, Yongwei Wang, Yanjiang Zhu, Hao Zhu, Kunyao Li

“…The successful prediction of excavation instructions for a large open caisson can compensate for the lack of data mining capability of the existing monitoring system. …”
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Time‐domain spectra of ultrasonic wave transmitted through granite and gypsum samples containing artificial defects by Zhuoran Tian, Chunjiang Zou, Yun Wu

“…In fact, most information contained in the waveforms is neglected. Techniques of data mining can provide a powerful tool to reveal this information and therefore a more accurate determination of the internal structures. …”
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Conceptual Structure and Trend Topics of the Education and Information Technologies Journal: A bibliometrics analysis by Yousef Mahdavinasab, Davoud Haseli

“…The analysis revealed the presence of nine subject areas of EAIT: role of ICT and technology in education, blended learning and teacher training, e-learning and mobile learning, engaging and motivating learning environments, educational data mining and machine learning, distance education in different academic settings, education during the COVID-19 pandemic, educational technology in higher education and developing countries, and the use of social media in education. …”
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Characterizing Heterogeneity in Drivers’ Merging Maneuvers Using Two-Step Cluster Analysis by Gen Li, Lu Sun

“…In order to investigate the heterogeneity in merging behaviors on freeways, a novel data mining tool, called two-step cluster analysis, is applied to the merging maneuvers (namely, initial speed, merging speed, and merging position). …”
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English Grammar Error Correction Algorithm Based on Classification Model by Shanchun Zhou, Wei Liu

“…Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. …”
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Secure Two-Party Decision Tree Classification Based on Function Secret Sharing by Kun Liu, Chunming Tang

“…Decision tree models are widely used for classification tasks in data mining. However, privacy becomes a significant concern when training data contain sensitive information from different parties. …”
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Construction of a Complex System Based on Big Data for the Intelligent Service System of Youth Physical Health by Xinwen Li, Chao Song, Christine A. Rochester, Chaobing Yan

“…From the experimental data, the improved particle swarm algorithm in this paper increases the effectiveness of the system in adolescent health data mining from 80.5% to 92.19%, which undoubtedly optimizes the system. …”
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Analysis of V2V Messages for Car-Following Behavior with the Traffic Jerk Effect by Tenglong Li, Fei Hui, Ce Liu, Xiangmo Zhao, Asad J. Khattak

“…To this end, this paper investigates the change in the traffic jerk effect between inactive and active vehicle-to-vehicle (V2V) communications based on field experimental data. Data mining results show that the correlation between the jerk effect and the driving behavior increases by 50.6% on average when V2V messages are received. …”
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PRESEE: An MDL/MML Algorithm to Time-Series Stream Segmenting by Kaikuo Xu, Yexi Jiang, Mingjie Tang, Changan Yuan, Changjie Tang

“…Time-series stream is one of the most common data types in data mining field. It is prevalent in fields such as stock market, ecology, and medical care. …”
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Predicting the urban water demand by equipping intelligent-based methods with discrete wavelet transform function by Mohammad Reza Alikhani, Ramtin Moeini

“…For this purpose, in this research, artificial intelligence and data mining methods, including genetic programming (GP), gene expression programming (GEP), artificial neural network (ANN), and discrete wavelet transform function, are used to predict the daily drinking water consumption values of WDN. …”
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The optimization model for allocating reward to employees using GAHP and cluster analysis by Mehdi Ajalli

“…Clustering is one of the most popular data mining techniques, and it has many applications in the industry. …”
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Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

“…Firstly, a novel method is established for driving behavioral encoding and raw driving data mining. Then, the Labeled Latent Dirichlet Allocation (LLDA) is proposed to understand the latent driving styles from individual driving with driving behaviors. …”
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Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

“…Some essential indicators include Opportunity Perception, Fear of Failure, Capability Perception, Role Model, and Entrepreneurial Intention. Data mining results show that the exit reasons and entrepreneurial intention have a more significant impact on entrepreneurial exit than other variables. …”
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Optimizing Biomedical Ontology Alignment through a Compact Multiobjective Particle Swarm Optimization Algorithm Driven by Knee Solution by Xingsi Xue, Xiaojing Wu, Junfeng Chen

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English Grammar Discrimination Training Network Model and Search Filtering by Juan Zhao

“…In addition, in order to improve the scalability and real-time performance of the recommendation system, the data mining method is used to perform fuzzy clustering for users and projects in the offline data preprocessing stage. …”
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Application of Big Data Technology in the Impact of Tourism E-Commerce on Tourism Planning by Heqing Zhang, Tingting Guo, Xiaobo Su

“…By using the various characteristics of tourism big data for data mining and classification, it provides users with personalized travel search services. …”
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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

“…To leverage this phenomenon, learning analytics and data mining can provide insights into improving pedagogy and assessing student engagement. …”
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An instruction dataset for extracting quantum cascade laser properties from scientific textDataverse by Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor

“…Availability of structured data of the QCL properties can support data mining activities that seek to understand the relationship between these properties, for instance between the design and performance features. …”
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