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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Real-time monitoring of lower limb movement resistance based on deep learning by Burenbatu, Yuanmeng Liu, Tianyi Lyu

“…Experimental results demonstrate that MMTL-Net significantly outperforms existing models on the UCI Human Activity Recognition and Wireless Sensor Data Mining Activity Prediction datasets, achieving a lower Force Error Rate (FER) of 6.8% and a higher Resistance Prediction Accuracy (RPA) of 91.2%. …”
Get full text

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. …”
Get full text

Where We Rate: The Impact of Urban Characteristics on Digital Reviews and Ratings by Özge Öztürk Hacar, Müslüm Hacar, Fatih Gülgen, Luca Pappalardo

Get full text

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.…”
Get full text

Systematic Exploration of the Knowledge Graph on Rock Porosity Structure by Chengwei Geng, Fei Xiong, Yong Liu, Yun Zhang, Yi Xue, Tongqiang Xia, Ming Ji

“…The study utilizes extensive literature review and data mining techniques, analyzing 4807 papers published over the past 20 years, sourced from the Web of Science database. …”
Get full text

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

Get full text

CDC40 suppression induces CDCA5 splicing defects and anti-proliferative effects in lung cancer cells by Die Hu, Brigitte L. Thériault, Vida Talebian, Laurent Hoffer, Julie Owen, Justin Lim, Benjamin J. Blencowe, Evelyne Lima-Fernandes, Punit Saraon, Richard Marcellus, Rima Al-awar

“…Abstract High mortality and low response rates in lung cancer patients call for novel therapeutic targets. Data mining of whole-genome genetic dependency screens suggest Cell Division Cycle 40 (CDC40) to be an essential protein for lung cancer cell survival. …”
Get full text

Campus virtual, dinámicas sociales y rendimiento académico en educación superior by Daniel David Martínez Romera, Sara Cortés Dumont

“…La metodología para llevarla a cabo es cuantitativa (analíticas de aprendizaje [learning analytics], minería de datos [data mining] y sociometría) y toma como fuentes los metadatos de los campus virtuales (25.308 registros), las calificaciones parciales y totales y los sociogramas de aula. …”
Get full text

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. …”
Get full text

Causal relationship between educational attainment and the occurrence of venous thromboembolism by Sitong Guo, Sitao Tan, Shiran Qin, Dandan Xu, Henghai Su, Xiaoyu Chen

“…We aimed to assess the causal effect of EA on VTE using the two-sample mendelian randomization (MR) method. Methods Data mining was conducted on the genome wide association studies (GWAS), with exposure factor EA and outcome factor VTE. …”
Get full text

Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…For each identified cluster, polynomial fits that describe the time behavior of the assessed features are provided for an informative comparison, together with their averaged values. The proposed data-mining methodology permits the stratification of distinct time patterns of multi-modal health data in individuals that share a diagnosis, by employing user-customized criteria beyond the current clinical practice. …”
Get full text

Sustainability-driven fertilizer recommender system for coffee crops using case-based reasoning approach by Edinson David León Chilito, Juan Fernando Casanova Olaya, Juan Fernando Casanova Olaya, Juan Carlos Corrales, Cristhian Figueroa

“…In Colombia, coffee cultivation plays a fundamental role in the economy, thus creating a recognized demand to elevate its production while minimizing its environmental impact sustainably.MethodologyThe study follows the CRISP-DM methodology (Cross-Industry Standard Process for Data Mining) developing of a fertilizer recommender system (FRS) for coffee crops. …”
Get full text

AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development by Ryan Wen Liu, Shiqi Zhou, Shangkun Yin, Yaqing Shu, Maohan Liang

“…Therefore, trajectory compression has been one of the hot spots in research on trajectory data mining. The major purpose of this work is to provide a comprehensive reference source for beginners involved in vessel trajectory compression. …”
Get full text

Educational Migration in Russian Regions: Statistical Approach by E. A. Pitukhin, O. A. Zyateva, L. V. Shchegoleva, V. E. Sokolov

“…The methods of the study included methods of comparative analysis and descriptive statistics, methods of data mining, such as analysis of key factors of influence and clustering. …”
Get full text

Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling by Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy

Get full text