High Density Subspace Clustering Algorithm for High Dimensional Data by WAN Jing, ZHENG Longjun, HE Yunbin, LI Song

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Correlation between Smart Mask and Knitted Coil Sensors Breathing Data by Matthew Setiawan, Muhammad Adil Malik, Kristel Fobelets

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Fake News Detection With Credibility Scoring on Turkish Twitter Data by Ozlem Aydin Fidan, Emir Ozturk, Husein Kantarci

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The media framing dataset: Analyzing news narratives in Mexico and ColombiaZenodo by Juan Cuadrado, Elizabeth Martinez, Juan Carlos Martinez-Santos, Edwin Puertas

“…Additionally, it provides a foundation for linguistic analysis and machine learning projects, enabling researchers and practitioners to explore media framing dynamics and develop innovative tools for media analysis.…”
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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
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Comparative Analysis of Machine Learning Models for Predicting Contaminant Concentration Distributions in Hospital Wards by Chonggang Zhou, Yunfei Ding

“…In this study, contaminant concentration data from hospital wards were obtained through experimentally validated computational fluid dynamics (CFD) simulations. …”
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ID-SMSA: Indonesian stock market dataset for sentiment analysisMendeley Data by Jason Hartanto, Timothy Liundi, Rhio Sutoyo, Esther Widhi Andangsari

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Energy entropy analysis of light chestnut soils by Gleb A. Rulev, Alexander S. Rulev, Olga V. Ruleva

“…Materials and methods. According to field data, the analysis of the complete granulometric composition of the soil was carried out with the determination of the weight contribution of each fraction. …”
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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

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Data-driven analysis and visualization of dielectric properties curated from scientific literature by Tomoki Murata, Naoto Saito, Eiji Koyama, Ton Nu Thanh Phuong, Ryusuke Misawa, Satoshi Yokomizo, Tomoya Mato, Yu Takada, Sakyo Hirose, Yukari Katsura

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Automated Anomaly Detection and Causal Analysis for Civil Aviation Using QAR Data by Xin Dang, Congcong Hua, Chuitian Rong

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Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation by Rashid Mehmood, Mariana Lazar, Xiaohui Liang, Juan M. Corchado, Juan M. Corchado, Juan M. Corchado, Simon See

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Secure Data Transmission Using GS3 in an Armed Surveillance System by Francisco Alcaraz-Velasco, José M. Palomares, Fernando León-García, Joaquín Olivares

“…Firstly, this work takes advantage of an efficient, scalable, and distributed system, named SmartFog, which identifies people with weapons by leveraging edge, fog, and cloud computing paradigms. Nevertheless, security vulnerabilities during data transmission are not addressed. …”
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A hybrid memory trace collection and analysis toolkit for big data applications by Zuojun LI, Haiyang PAN, Mingyu CHEN, Yungang BAO

“…The rise of in-memory computing framework represented by Spark,the gradual deepening of new non-volatile memory research and the increasingly severe data security situation made the existing memory behavior analysis tools unable to meet the demand for big data applications.A software-hardware hybrid memory trace collection and analysis toolkit for big data applications was proposed.Based on the basic memory trace collected by hardware,the memory behavior information with rich semantic information can be obtained quickly,accurately and undistorted by combining software information synchronization and offline annotation.It also provides an implementation method for real-time security monitoring of large data access.Finally,a group of real big data applications were analyzed by this toolkit.…”
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Enhancing Precision Beekeeping by the Macro-Level Environmental Analysis of Crowdsourced Spatial Data by Daniels Kotovs, Agnese Krievina, Aleksejs Zacepins

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A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data by Jothi Prakash Venugopal, Arul Antran Vijay Subramanian, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

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Spatial analysis of socioeconomic data and its relationship with illicit crops in Nariño-Colombia. by Andrés Fernando Grajales-Marín, Fabio Humberto Sepúlveda-Murillo, Alex Tapia, Alexander Tabares

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SAW: an efficient and accurate data analysis workflow for Stereo-seq spatial transcriptomics by Chun Gong, Shengkang Li, Leying Wang, Fuxiang Zhao, Shuangsang Fang, Dong Yuan, Zijian Zhao, Qiqi He, Mei Li, Weiqing Liu, Zhaoxun Li, Hongqing Xie, Sha Liao, Ao Chen, Yong Zhang, Yuxiang Li, Xun Xu

“…These problems affect the applicability and efficiency of the analysis. Here, a high-performance and accurate spatial transcriptomics data analysis workflow, called Stereo-seq Analysis Workflow (SAW), was developed for the Stereo-seq technology developed at BGI. …”
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Mixed Inverse Gaussian Analysis of Covariance for Censored Data: A Bayesian Approach by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholamhossein Yari

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Career Motivations of the Scientist-Turned-Librarian: A Secondary Analysis of WILIS Data. by Shannon Walker

“…Are there differences between LIS graduates with and without a science degree that might impact recruitment strategies? An analysis of data from a longitudinal career study, "Workforce Issues in Library and Information Science," sought to answer these questions. …”
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