Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce by Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue

“…Aiming at this problem, a novel attribute reduction algorithm based on neighborhood multigranulation rough sets was developed to process the massive heterogeneous data in the parallel way. …”
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Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data by Lirong LIU, Yanan ZHENG

“…Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. …”
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Algorithms for big data mining of hub patent transactions based on decision trees by Zhukov Aleksandr, Pronichkin Sergey, Mihaylov Yuri, Kartsan Igor

“…One of the most promising methods for improving the accuracy of system analysis of big and semi-structured patent transaction data is the use of decision trees. …”
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From ownership to custodianship: rethinking human biospecimens data governance in the Chinese context by Yifan Peng, Jiyuan Li, Ruipeng Lei

“…Finally, the paper points out that transitioning to a custodianship model can more effectively balance privacy protection with innovation, data security with technological development, and data sharing with data protection, offering a new perspective and approach for China’s HBD governance and providing a Chinese solution for global HBD governance, thereby promoting the healthy development of life sciences and technology.…”
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Leveraging Social Media Data for Enhanced Forecasting of International Student Arrivals in Australia by Ali Abdul Karim, Eric Pardede, Scott Mann

“…Building on these insights, features were derived from the collected data for use in the development of the forecasting models. …”
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Intelligent Malfunction Identification Method in Mechanical Manufacturing Process Based on Multisensor Data by Meng Wang

“…The mechanical data of keyboard chords are acquired by sound-sensitive sensors, and the data features are extracted by wavelet packet decomposition. …”
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Accounting for population structure and data quality in demographic inference with linkage disequilibrium methods by Enrique Santiago, Carlos Köpke, Armando Caballero

“…However, the structure of natural populations is generally complex and the quality of the genotyping data is often suboptimal. We present two software tools that implement theoretical developments to estimate the effective population size (N e ): GONE2, for inferring recent changes in N e when a genetic map is available, and currentNe2, which estimates contemporary N e even in the absence of genetic maps. …”
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Synthetic healthcare data utility with biometric pattern recognition using adversarial networks by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Subhav Singh

“…Abstract This research examines the significance of privacy of synthetic data in healthcare and biomedicine by an analysis of actual data. …”
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UAV-Based Multi-Sensor Data Fusion for 3D Building Detection by Mohsen Shahraki, Ahmed El-Rabbany, Ahmed Elamin

“…Three-dimensional building extraction is crucial for urban planning, environmental analysis, and autonomous navigation. One method for data collection involves using unmanned aerial vehicles (UAVs), which allow for flexible and rapid data acquisition. …”
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TREC and KREC values in patients with congenital heart defects — neonatal screening data by L. Yu. Barycheva, L. I. Bachieva, A. A. Puchkov, J. G. Selezneva, N. A. Kozmova

“…An analysis of TREC and KREC was conducted in 43 newborns with CHD compared to healthy infants.Results. …”
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Business Intent and Network Slicing Correlation Dataset from Data-Driven Perspective by Jie Li, Sai Zou, Yanglong Sun, Hongfeng Gao, Wei Ni

“…We utilize natural language processing techniques based on named entity recognition and third-party data analysis tools such as DataProfiler to validate the data quality of BINS, confirming its reliability. …”
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Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 3. Recognition by O. M. Polyakov

“…In conclusion, the law of creative thinking is formulated, which follows from a linguistic data model.…”
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A performance-driven hybrid text-image classification model for multimodal data by Swati Gupta, Bal Kishan

“…As hybrid modeling develops, these models might transform classification accuracy, interpretability, and application in the multimodal data analysis age. …”
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Empowering MSMEs with Data-Driven Insights: Mobile Sales Dashboard Application for MSMEs by Zalina Fatima Azzahra, Riska Yanu Fa'rifah, Syfa Nur Lathifah

“… Micro, Small, and Medium Enterprises (MSMEs) in Indonesia have made a large contribution to GDP and the workforce but still face challenges in managing sales data and making data-driven decisions. Manual recording often causes operational inefficiencies, recording errors, and delays in business analysis. …”
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Dataset of knowledge retention and learning satisfaction in patient–nurses safetyMendeley Data by Rose A. Nain, Deena Clare Thomas, Johari Daud Makajil, Rista Fauziningtyas

“…This dataset contains information on knowledge retention and learning satisfaction in the context of patient–nurse safety education. The data was collected through structured questionnaires administered to participants before and after implementing a safety-focused learning module. …”
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Modeling a Born-Digital Factoid Prosopography using the TEI and Linked Data by Daniel L. Schwartz, Nathan P. Gibson, Katayoun Torabi

“…Factoids are structured data about persons drawn from the analysis of historical texts. …”
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Evaluating the EVENODD Code: Principles, Applications, and Future Prospects in Data Storage Systems by Deng Jinxiang

“…Check codes have been developed to address these issues, allowing recovery of the original data even when errors occur. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

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Accelerating Bayesian hierarchical clustering of time series data with a randomised algorithm. by Robert Darkins, Emma J Cooke, Zoubin Ghahramani, Paul D W Kirk, David L Wild, Richard S Savage

“…We live in an era of abundant data. This has necessitated the development of new and innovative statistical algorithms to get the most from experimental data. …”
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Design of a Support System for Complicated Logistics Location Integrating Big Data by Yusi Cheng, Xinwei Pan

“…This study developed a decision support system that can address location problems for complicated logistics systems, e.g., a multilevel urban underground logistics system (ULS), using logistics big data. …”
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