Suicide in New Zealand by Said Shahtahmasebi

“…One method of improving our objective understanding of suicide would be to use data mining techniques in order to build life event histories on all deaths due to suicide. …”
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The Optimal Machine Learning Model for the Precise Prediction of HighPerformance Concrete Strength Property by Yufeng Qian

“…The machine learning-based method, which relies on data mining, helps develop reliable and precise models to predict compressive strength. …”
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LONGPOP and IDS. Personal reflections on our collaboration With Kees Mandemakers. by Sam Jenkinson, Hideko Matsuo, Koen Matthijs

“…The three of us have known Kees for some time, but most closely since 2014, when we became formally engaged as project partners under the so-called LONGPOP-project, an EU funded Marie Curie grant, named Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers. …”
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Cost-Effective Resource Provisioning for Real-Time Workflow in Cloud by Lei Wu, Ran Ding, Zhaohong Jia, Xuejun Li

“…In the era of big data, mining and analysis of the enormous amount of data has been widely used to support decision-making. …”
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MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST by Phan Thành Huấn, Lê Hoài Bắc

“…Association rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining. …”
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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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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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