Discovering the Structure of Knowledge in Urban Data Mining Using Vocabulary Co-occurrence Analysis by Enayat Alah Mohaghegh Nasab, Mahmoud Mohamadi

“…For this purpose, 392 articles in the field of urban data mining were found after searching the reference database of Web of Science, and statistical methods and VOSviewer software were used to analyze the information of these articles. …”
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Fraud Detection in Credit Card Transactions; Using Parallel Processing of Anomalies in Big Data by Mohammad Reza Taghva, Taha Mansouri, Kamran Feizi, Babak Akhgar

“…In parallel to the increasing use of electronic cards, especially in the banking industry, the volume of transactions using these cards has grown rapidly. …”
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Comparing Linear and Nonlinear Models for Load Profile Data Using ANOVA, AIC, and BIC by Ilir Keka, Betim Çiço

“…The study’s main focus is on data transformation and visualization, which were essential for using the R tool to find patterns and relationships in the data. …”
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A Robust Estimate Method for Damage Detection of Concrete Structures Using Contaminated Data by X. Peng, F. J. Qin, Q. W. Yang, H. Chen

“…It was found that the proposed method can successfully identify the location and extent of structural damage even if the used data have gross errors.…”
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Prediction of Main Transportation Modes using Passive Mobile Positioning Data (Passive MPD) by Muhammad Farhan, Lya Hulliyyatus Suadaa, Sugiri, Alfatihah Reno Maulani Nuryaningsih Soekri Putri Munaf, Setia Pramana

“…Meanwhile, there is Active MPD which is recorded using active geo-positioning and real-time, where the research involves many features and has a data structure similar to Passive MPD. …”
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An ensemble model for predicting dyslipidemia using 3-years continuous physical examination data by Naiwen Zhang, Xiaolong Guo, Xiaxia Yu, Zhen Tan, Zhen Tan, Feiyue Cai, Feiyue Cai, Ping Dai, Jing Guo, Guo Dan

“…Hence, it holds paramount importance to precisely predict the onset of dyslipidemia. This study aims to use ensemble technology to establish a machine learning model for the prediction of dyslipidemia.MethodsThis study included three consecutive years of physical examination data of 2,479 participants, and used the physical examination data of the first two years to predict whether the participants would develop dyslipidemia in the third year. …”
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Investigation of Freeway Incident Duration Using Classification and Regression Trees Based on Multisource Data by Xun Xie, Gen Li, Lan Wu, Shuxin Du

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English Word Learning Using Intelligent Massive-Scale Big Data Mining Technique by Lei Jin

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A data Mining Approach using CNN and LSTM to Predict Divorce before Marriage by Touba Torabipour, Safieh Siadat, Hosein Taghavi

“…One of the effective solutions to reduce divorce in society is to review the background of the couple, which can provide valuable experiences to experts, and used by experts and family counselors. In this article, a method has been proposed that uses data mining and deep learning to help family counselors to predict the outcome of marriage as a practical tool. …”
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The use of crowdsourced mobile data in estimating pedestrian and bicycle traffic: A systematic review by Tao Tao, Greg Lindsey, Raphael Stern, Michael Levin

“…We find that one source of commercial fitness application data (i.e., Strava) has been used much more frequently than other crowdsourced mobile data, and that most studies have used crowdsourced mobile data to estimate bicyclist volumes. …”
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Data and methods for assessing urban green infrastructure using GIS: A systematic review. by Xiaomian Wu, Jianquan Liu, Yukun Hou

“…While the integration of diverse data and analytical indicators into GIS has enhanced assessment comprehensiveness, and AI technologies have deepened data analysis, field research with urban residents remains crucial, underscoring the importance of inclusiveness in the study. …”
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Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases by Uung Ungkawa, Muhammad Avilla Rafi

“…To balance the data, we use the PCA-KMeans combination model to shrink the dataset and the ADASYN model to give the minority class more samples than it needs. …”
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Analysis of Mangrove Vulnerability Level using Remote Sensing Data in Comal Estuary, Pemalang by Tjaturahono Budi Sanjoto, Vina Nurul Husna, Ananto Aji

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Remotely geolocating static events observed by citizens using data collected by mobile devices by Jacinto Estima, Ismael Jesus, Cidália C. Fonte, Alberto Cardoso

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Defect detection in photolithographic patterns using deep learning models trained on synthetic data by Prashant P. Shinde, Priyadarshini P. Pai, Shashishekar P. Adiga, K. Subramanya Mayya, Yongbeom Seo, Myungsoo Hwang, Heeyoung Go, Changmin Park

“…These promising results suggest that synthetic data can be used as an alternative to real-world data in order to develop robust machine-learning models.…”
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A Review on Deep Learning for Quality of Life Assessment Through the Use of Wearable Data by Vasileios Skaramagkas, Ioannis Kyprakis, Georgia S. Karanasiou, Dimitris I. Fotiadis, Manolis Tsiknakis

“…This review critically examines DL's role in QoL assessment through the use of wearable data, with particular emphasis on the subdomains of physical and psychological well-being. …”
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Investigating the Potential of LS 5039 as a Triple System Using Fermi-LAT Data by Lujun Zeng, Mengqing Zhang, Chongyang Ren, Pengfei Zhang, Jingzhi Yan

“…Recently, we conducted a data analysis using approximately 16 yr of Fermi Large Area Telescope observations, spanning from 2008 August 4 to 2024 July 8. …”
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Examination of the Research and Development Patterns of Gastrodia Elata Food using Literature and Patent Data by FENG Ming-ke, YANG Yi-na, TIAN Wen-hao, JIA Fan-fan, LI Ke-rui, CHEN Chen

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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“… BackgroundImmunotherapy has become a game changer in cancer treatment. The internet has been used by patients as a platform to share personal experiences and seek medical guidance. …”
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Integrating multiple spatial transcriptomics data using community-enhanced graph contrastive learning. by Wenqian Tu, Lihua Zhang

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