Recent Fuzzy Generalisations of Rough Sets Theory: A Systematic Review and Methodological Critique of the Literature by Abbas Mardani, Mehrbakhsh Nilashi, Jurgita Antucheviciene, Madjid Tavana, Romualdas Bausys, Othman Ibrahim

“…Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artificial intelligence, especially in numerous fields such as expert systems, knowledge discovery, information system, inductive reasoning, intelligent systems, data mining, pattern recognition, decision-making, and machine learning. …”
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Exposing End-to-End Delay in Software-Defined Networking by Ting Zhang, Bin Liu

“…We disclose that SDN switches cannot completely avoid the generation of flow setup even in proactive mode and conduct data mining on the probability of flow setup. We propose an analytical model for the end-to-end delay. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…To avoid unintended results, data mining from new applications like sensors and location-based services needs to be done with care. …”
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FTO effects the proliferation, invasion, and glycolytic metabolism of colon cancer by regulating PKM2 by Kongyan Zhang, Fei Zhang, Jiahe Wang

“…Results An upregulation of FTO was observed in colon cancer through data mining and analysis of pathological specimens. …”
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Cognitive analysis and path construction of Chinese students’ mathematics cognitive process based on CDA by Xiaopeng Wu, Nanxin Li, Rongxiu Wu, Hao Liu

“…It also highlights the potential of CDA for assessing cognitive abilities and constructing in-depth data mining, advancing the understanding of students’ cognitive strengths and weaknesses in mathematics education.…”
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Generalized Design for Additive Manufacturing (DfAM) Expert System Using Compliance and Design Rules by Bader Alwoimi Aljabali, Santosh Kumar Parupelli, Salil Desai

“…A modified J48 classifier was implemented to enhance data mining accuracy by achieving a 91.25% classification performance accuracy. …”
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Research on multiple enhanced k combination reverse Skyline query method by Song Li, Xinyuan Zhang, Liping Zhang

“…It has been widely applied in business decision-making, recommendation systems, location-based services, knowledge discovery, and data mining. However, existing reverse Skyline queries mainly focus on single-point queries, overlooking multi-point combination queries. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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An Automatic Extraction Method of Coach Operation Information from Historical Trajectory Data by Jun Li, Qingqi Li, Yan Zhu, Yan Ma, Yubin Xu, Chao Xie

“…The proposed method makes use of data mining techniques to extract coach operation information from big trajectory data and saves a lot of labor work, time, and economic cost required by on-site investigation.…”
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English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Junfang Guo

“…First, data analysis methods and decision tree algorithms are analyzed. Second, in data mining technology, the C4.5 decision tree method is used to construct an English score prediction model. …”
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School Leadership and Management in the Age of Artificial Intelligence (AI): Recent Developments and Future Prospects by Turgut Karakose, Tijen Tülübaş

“…AI also enables learning analytics, or educational data mining, which allows for taking preventive actions and providing customized education by obtaining comprehensive data from students’ educational activities across a period. …”

Self-Adaptive K-Means Based on a Covering Algorithm by Yiwen Zhang, Yuanyuan Zhou, Xing Guo, Jintao Wu, Qiang He, Xiao Liu, Yun Yang

“…The K-means algorithm is one of the ten classic algorithms in the area of data mining and has been studied by researchers in numerous fields for a long time. …”
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Combination of Enrichment Using Gene Ontology and Transcriptomic Analysis Revealed Contribution of Interferon Signaling to Severity of COVID-19 by Hilmi Farhan Ramadhani, Annisa Annisa, Aryo Tedjo, Dimas R. Noor, Wisnu Ananta Kusuma

“…Moreover, we created a data set and analyzed gene expression using Orange Data-mining version 3.30. PPI analysis was performed using the STRING database with a confidence score >0.9. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…Meanwhile, in contemporary economics, topology is being used for high-dimension reduction, complex network construction, and structural data mining, combined with techniques of machine learning, and applied to high-dimensional time series and structure analysis in financial markets. …”
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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

“…In recent decades, Data-mining techniques and machine learning for classifying problematic software projects have emerged to improve software quality. …”
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Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings by Özge Öztürk Hacar, Müslüm Hacar, Fatih Gülgen, Luca Pappalardo

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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The scope of this project was to identify the most effective and accurate Business intelligence technique that can be used during crime data mining to provide accurate results.…”
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Predictive factors for the development of depression in children and adolescents: a clinical study by Hong Zhang, Peilin Yu, Xiaoming Liu, Xiaoming Liu, Ke Wang, Ke Wang, Ke Wang, Ke Wang

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Construction and Application of Enterprise Internal Audit Data Analysis Model Based on Decision Tree Algorithm by Yuna Si

“…Adding the C4.5 and CART algorithms implemented in the Weka open source data mining software, through experimental analysis, the differences in the classification accuracy and the number of rules generated by the four decision tree algorithms are compared. …”
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