An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…Stochastic Configuration Networks (SCNs) perform well in machine learning and data mining tasks in complex data environments. However, traditional SCNs have limitations in network size and computation time. …”
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A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees by Joaquín Abellán, Javier G. Castellano, Carlos J. Mantas

“…The knowledge extraction from data with noise or outliers is a complex problem in the data mining area. Normally, it is not easy to eliminate those problematic instances. …”
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A Semisupervised Cascade Classification Algorithm by Stamatis Karlos, Nikos Fazakis, Sotiris Kotsiantis, Kyriakos Sgarbas

“…Classification is one of the most important tasks of data mining techniques, which have been adopted by several modern applications. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Detecting anomalies in power consumption and communication is primarily a real‐time big data analytics issue regarding data mining along with a vast number of parallel streaming data from smart metres. …”
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HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery by D. Jalal Nouri, M. Saniee Abadeh, F. Ghareh Mohammadi

“…In recent years, imperialist competitive algorithm (ICA), genetic algorithm (GA), and hybrid fuzzy classification systems have been successfully and effectively employed for classification tasks of data mining. Due to overcoming the gaps related to ineffectiveness of current algorithms for analysing high-dimension independent datasets, a new hybrid approach, named HYEI, is presented to discover generic rule-based systems in this paper. …”
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A Novel Approach for Reducing Attributes and Its Application to Small Enterprise Financing Ability Evaluation by Baofeng Shi, Bin Meng, Hufeng Yang, Jing Wang, Wenli Shi

“…Attribute reduction is viewed as a kind of preprocessing steps for reducing large dimensionality in data mining of all complex systems. A great deal of researchers have proposed various approaches to reduce attributes or select key features in multicriteria decision making evaluation. …”
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A Study of English Informative Teaching Strategies Based on Deep Learning by Yaojun Guo

“…Artificial intelligence, especially deep learning, will be promising in many aspects, such as the analysis of individual differences of language learners, customized learning content, diversified and three-dimensional teaching media, the role of teachers as smart classroom designers, and multidimensional and dynamic formative assessments. By relying on the data mining technology of deep learning to analyze learners’ characteristics, the smart classroom design, the promotion of language learners’ independent learning, and the establishment of dynamic and complete learner profiles, the language learning process is no longer a linear process but an evolving open loop, ultimately forming a harmonious development of various ecological niches in the language learning process. …”
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Optimizing multi label student performance prediction with GNN-TINet: A contextual multidimensional deep learning framework. by Xiaoyi Zhang, Yakang Zhang, Angelina Lilac Chen, Manning Yu, Lihao Zhang

“…This study enhances educational data mining by enabling focused interventions that promote educational equality, tackling significant challenges in the domain.…”
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Hierarchical Factor Analysis Methodology for Intelligent Manufacturing by Hyun Sik Sim

“…However, yield management is a difficult problem because there exists a correlation between equipment, and in the sequence of process equipment that the lot passed through, the downstream and the upstream cause complex faults. This study used data-mining techniques to identify suspected processes and equipment that affect the yield of products in the manufacturing process and to analyze the key factors of the equipment. …”
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Interactive Visualization for Patient-to-Patient Comparison by Quang Vinh Nguyen, Guy Nelmes, Mao Lin Huang, Simeon Simoff, Daniel Catchpoole

“…The system consists of multiple components enabling the complete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. …”
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Exploitation des données de diagnostics en tranchées mécaniques par l’analyse spatiale by Sylvain Badey, Xavier Rodier

“…In the case of large areas surveyed, we let’s suppose that the data mining is useful for archaeological interpretation of the site.This paper presents the methods and results of an experiment based on data from a 226 ha archaeological survey performed at Etrechet in Indre (Centre of France). …”
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A Complete Subspace Analysis of Linear Discriminant Analysis and Its Robust Implementation by Zhicheng Lu, Zhizheng Liang

“…Linear discriminant analysis has been widely studied in data mining and pattern recognition. However, when performing the eigen-decomposition on the matrix pair (within-class scatter matrix and between-class scatter matrix) in some cases, one can find that there exist some degenerated eigenvalues, thereby resulting in indistinguishability of information from the eigen-subspace corresponding to some degenerated eigenvalue. …”
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Towards Emotion Detection in Educational Scenarios from Facial Expressions and Body Movements through Multimodal Approaches by Mar Saneiro, Olga C. Santos, Sergio Salmeron-Majadas, Jesus G. Boticario

“…These data altogether are to train data mining algorithms that serve to automatically identify changes in the learners’ affective states when dealing with cognitive tasks which help to provide emotional personalized support.…”
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Performance optimization of high-rise residential buildings in cold regions considering energy consumption by Liwei Song

“…This study provides practical design methods and strategy references for high-rise residential buildings in the design phase by analyzing data, mining patterns, and summarizing design strategies.…”
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Complexities in Financial Network Topological Dynamics: Modeling of Emerging and Developed Stock Markets by Yong Tang, Jason Jie Xiong, Zi-Yang Jia, Yi-Cheng Zhang

“…Network analysis is an innovative method to enhance data mining and knowledge discovery in financial data. …”
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

“…Non-clinical methods such as data mining and machine learning techniques may help do this. …”
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Machine learning-based urban noise appropriateness evaluation method and driving factor analysis. by Jinlin Teng, Cheng Zhang, Huimin Gong, Chunqing Liu

“…This study employs data mining concepts and machine learning techniques to provide an accurate and objective assessment of urban noise levels. …”
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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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Criticism and Genealogy of Failure at Different Stages of the Organization's Life Cycle by Manijeh Ghareche, Bahman Hajipour, Akbar Alamtabriz, Masoumeh Mohammadipour Pamsari

“…Criticism and studying the results of systematic review in three stages and trying to link two theoretical foundations of organization life cycle and organization failure studies in order to achieve a better understanding of types of failure in each stage of the life cycle of SMEs by using open and closed Sorting cards to perform data mining, reveals 9 different types of failure. Revealing the types of failures that SME’s may encounter in each stage of their life cycle, compared to the simplistic, single-level view of enterprise failure highlights the appropriate route of policymaking in this area to prevent major damages of these company’s failures.…”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Despite the prevalence of natural language processing for data mining, the majority of studies did not incorporate ML algorithms in their analyses. …”
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