Influence of data mining technology in information analysis of human resource management on macroscopic economic management. by Ai Zhang

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Analysis of Service Quality in Smart Running Applications Using Big Data Text Mining Techniques by Jongho Kim, Jinwook Chung

“…The research analyzed 264,330 app reviews through sentiment analysis and network analysis, focusing on key service dimensions such as system efficiency, functional fulfillment, system availability, and data privacy. …”
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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

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Research on somatic interactive exhibition design of lacquer artwork based on multi-source data analysis by Ke Ni

“…Then, a comparative analysis model of somatosensory interaction technology is developed based on communication chain relationships. …”
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Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis by Siqi Li, Di Miao, Qiming Wu, Chuan Hong, Danny D’Agostino, Xin Li, Yilin Ning, Yuqing Shang, Ziwen Wang, Molei Liu, Huazhu Fu, Marcus Eng Hock Ong, Hamed Haddadi, Nan Liu

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Accurate identification of locally aneuploid cells by incorporating cytogenetic information in single cell data analysis by Ziyi Li, Ruoxing Li, Irene Ganan-Gomez, Hussein A. Abbas, Guillermo Garcia-Manero, Wei Sun

“…We have thoroughly evaluated the performance of partCNV and partCNVH through simulation studies and real data analysis using three scRNA-seq datasets from blood cancer patients. …”
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Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications by Alan Bruszewski, Agnieszka Lach, Maciej Wilczak, Karolina Chmaj-Wierzchowska

“…Three parameters were determined for each lesion: the maximum signal enhancement (Ratio), time to peak, and mean signal intensity (Mean). A KMeans cluster analysis (<i>k</i> = 3) was performed, dividing the data into three groups corresponding to Funaki types I–III. …”
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Tectonophysical approach to the analysis of geological and geophysical data on gas-condensate deposits with the complex platform cover by K. Zh. Seminsky, V. A. Sankov, V. V. Ogibenin, Yu. P. Burzunova, A. I. Miroshnichenko, E. A. Gorbunova, I. V. Gorlov, A. S. Smirnov, A. G. Vakhromeev, I. V. Buddo

“…In the upper part of the cross section, the network of fault zones was identified from the relief lineaments and structural data. The dynamic conditions for faulting (compression, extension, and strike-slip) were reconstructed by the paragenetic analysis. …”
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Mapping the landscape of government data breaches: A bibliometric analysis of literature from 2006 to 2023 by Supardi Hamid, Mohammad Nurul Huda

“…This study conducted a bibliometric analysis to evaluate the scientific landscape of government data breaches. …”
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Using IoT Protocols in Real-Time Systems: Protocol Analysis and Evaluation of Data Transmission Characteristics by Andrei Gavrilov, Marlen Bergaliyev, Sergey Tinyakov, Kirill Krinkin, Pavel Popov

“…To assess the characteristics of data transmission, we have developed our own test scenarios that simulate complex situations. …”
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Automated methane emission monitoring systems based on satellite data: Radiation transfer model analysis by K. Aghayeva, G. Krauklit

“…The findings highlight the need to integrate satellite data with ground-based measurements and radiative transfer models to improve monitoring accuracy and develop emission reduction strategies…”
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Leveraging Large Language Models and Agent-Based Systems for Scientific Data Analysis: Validation Study by Dale Peasley, Rayus Kuplicki, Sandip Sen, Martin Paulus

“…ObjectiveThe objective of this study was to develop and evaluate LITURAt to enable efficient analysis and contextualization of complex scientific datasets for diverse user expertise levels. …”
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Integrating Inverse Data Envelopment Analysis and Machine Learning for Enhanced Road Transport Safety in Iran by Seyyed Mojtaba Tabatabai, Fatemeh Al-Sadat Tabatabai

“…This approach has been carried out using the Data Envelopment Analysis (DEA) method, which, unlike regression methods, does not require obtaining the distribution function and considering hypotheses about it. …”
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Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

“…These diverse perspectives offer valuable insights for data-driven decision-making. While extensive sentiment analysis approaches have been developed for resource-rich languages like English and Chinese, low-resource languages such as Roman Urdu and Roman Punjabi, especially in code-mixed contexts, have been largely neglected due to the lack of datasets and limited research on their unique morphological structures and grammatical complexities. …”
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Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. by Silvia Pineda, Francisco X Real, Manolis Kogevinas, Alfredo Carrato, Stephen J Chanock, Núria Malats, Kristel Van Steen

“…We further support our results with a biological interpretation based on an enrichment analysis. The approach we propose allows reducing computational time and is flexible and easy to implement when analyzing several types of omics data. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This study aims to quantify and evaluate the complexity features of natural gas loads and to develop a multi-step-ahead forecasting model that integrates data decomposition and ensemble deep learning while considering these complexity features. …”
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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data by Yinghao Tan, Junfeng Wu, Yihang Liu, Shiyu Shen, Xia Xu, Bin Pan

“…This paper presents the spatiotemporal analysis fitting prediction algorithm (SA-Fit), an approximation algorithm for regional high-dimensional meteorological data prediction. …”
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Geo-parsing and analysis of road traffic crash incidents for data-driven emergency response planning by Patricia Ojonoka Idakwo, Olubayo Adekanmbi, Anthony Soronnadi, Amos David

“…We further applied the RTC NER model for feature extraction using geo-parsing techniques to extract RTC location details and retrieve corresponding geographical coordinates, creating a structured Nigeria RTC dataset for exploratory data analysis. Our study showcases the use of the RTC NER model in IE from RTC-related reports for analysis aimed at identifying RTC risk areas for data-driven emergency response planning.…”
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Improving population analysis using indirect count data: A case study of chimpanzees and elephants by Samuel Ayebare, Neil A. Gilbert, Andrew J. Plumptre, Simon Nampindo, Elise F. Zipkin

“…., nests, dung) can serve as proxies for counts of individuals. Scientists have developed approaches to estimate population density using these “indirect count” data, although current methods do not adequately account for variation in sign production and spatial patterns of animal density. …”
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Descriptive Analysis of Typhoid Fever Surveillance Data in the Jimma Zone, Southwest Ethiopia (2015–2019) by Getaneh Atikilt Yemata, Chalachew Yenew, Melkalem Mamuye, Mulu Tiruneh, Tigabnesh Assfaw, Sileshi Mulatu, Ermias Sisay, Fitalew Tadele

“…SPSS version 21 was used to enter and analyze the data. Descriptive analysis was used to assess the distribution of typhoid fever incidence in time, place, and personal groups. …”
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