A Study on the Challenges and Future Trajectory of Agricultural Data Transformation in the Big Data Era by Yu Jialu

“…This paper delves into the opportunities and challenges that the growth of big data has presented for the transformation of agriculture in recent years. …”
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Enhancing privacy in clustering and data mining: A novel approach for sensitive data protection by Haythem Hayouni

“… In the era of big data, clustering and data mining have become essential tools for uncovering patterns and insights from vast datasets. …”
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Hardware-Accelerated Data Readout Platform Using Heterogeneous Computing for DNA Data Storage by Xiaopeng Gou, Qi Ge, Quan Guo, Menghui Ren, Tingting Qi, Rui Qin, Weigang Chen

“…The results indicate that under high-error, low-coverage conditions (error rate of 1.5% and coverage of 15×), the accelerator achieves a peak speedup of up to 373.1 times, enabling the readout of 59.4 MB of stored data in just 12.40 s. …”
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BAMHealthCloud: A biometric authentication and data management system for healthcare data in cloud by Kashish A. Shakil, Farhana J. Zareen, Mansaf Alam, Suraiya Jabin

“…Advancements in the healthcare industry have given rise to the security threat to the ever growing e-medical data. The healthcare data management system records patient’s data in different formats such as text, numeric, pictures and videos leading to data which is big and unstructured. …”
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Child immunization data quality in Rwanda: an assessment of routine health information system data by Thaoussi Uwera, J. Frederik Frøen, Eleni Papadopoulou, Enock Rukundo, Hassan Sibomana, Andrew Muhire, David K. Tumusiime, Mahima Venkateswaran

“…Further improvements in data quality can be achieved by purposefully designed implementation strategies to support health workers with digital data entry.…”
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Agricultural data governance from the ground up: Exploring data justice with agri-food movements by Sarah-Louise Ruder, Hannah Wittman

“…However, there is a lack of consensus on the potential of common ‘best practices’ to resolve agricultural data governance challenges and achieve data justice. …”
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Predicting drug protein interactions based on improved support vector data description in unbalanced data by Alireza Khorramfard, Jamshid Pirgazi, Ali Ghanbari Sorkhi

“…To address the challenge of unbalanced datasets, a Support Vector Data Description (SVDD) approach is employed, outperforming standard techniques like SMOTE and ENN in balancing data. …”
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Big Data and OLAP Systems by Xiaoyong Du, Yueguo Chen, Xiongpai Qin

“…OLAP (online analytical processing) is a key technology of business intelligence based on relational data. In big data era, people want to achieve high performance OLAP using a large cluster of ordinary nodes. …”
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Library Data in Wikimedia Projects by Linda Jansová, Lenka Maixnerová, Petra Š´tastná

“…This was eventually achieved and from 2022 the National Library is making most of its databases available as open data under a CC0 license. …”
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Strategic Data Pattern Visualisation by Carol E. Cuthbert, Noel J. Pearse

“…In service industries in general and the legal industry in particular, big data analytics (BDA) is emerging as a decision-making tool for management to achieve competitive advantage. …”
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Synthetic Data-Based Algorithm Selection for Medical Image Classification Under Limited Data Availability by Maxim Zhabinets, Benjamin Tyler, Martin Lukac, Shinobu Nagayama, Ferdinand Molnár, Michitaka Kameyama

“…To determine if Algorithm selection trained on synthetically generated data can achieve the same accuracy as if trained on real-world natural data, we systematically evaluate the data generative model using the smallest amount of data needed to choose the right Algorithm and to achieve the expected level of accuracy. …”
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Research on the Bearing Load Measurement Method Based on the Fusion of Redundant Strain Data and Jacking Data by Chengwei Fang, Aihua Liu, Hanhua Zhu, Yibin Deng

“…Secondly, synchronize the measurement of strain data during the jacking phase and fuse the measurement data from the jacking phase based on the Bayesian estimation method to enhance the measurement accuracy of the jack-up method (JM). …”
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Human Contributions to Safety Data Testbed Flight Simulation Study: Data Methods, Processing, and Quality by Tyler Fettrow, Chad Stephens, Lance Prinzel, Jon Holbrook, Kathryn Ballard, Sepehr Bastami, Michael Stewart, Daniel Kiggins

“…Abstract NASA’s System-Wide Safety Project achieved a pivotal milestone through a structured observation simulation experiment aiming to transform safety in aviation. …”
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Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets. by Der-Chiang Li, Susan C Hu, Liang-Sian Lin, Chun-Wu Yeh

“…It is difficult for learning models to achieve high classification performances with imbalanced data sets, because with imbalanced data sets, when one of the classes is much larger than the others, most machine learning and data mining classifiers are overly influenced by the larger classes and ignore the smaller ones. …”
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COVID-19 Data Analysis: The Impact of Missing Data Imputation on Supervised Learning Model Performance by Jorge Daniel Mello-Román, Adrián Martínez-Amarilla

“…Overall, RF consistently achieved high accuracy and AUC at the highest missingness level, underscoring its robustness. …”
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Maturity of Employment Data Interoperability in supporting One Employment Data at the Ministry and Regional Government Level by Herpita Wahyuni, Dyah Mutiarin, Wahyudi Kumorotomo, Ulung Pribadi, Nur Syakiran Akmal Ismail

“…Understanding with a percentage of 27.00% is well implemented and can provide implementation references and guidelines for central and regional agencies in order to realize the availability of quality, easily accessible and shared Employment Data between central and regional agencies. Command style (24.00%) is committed to building coordination and consolidation in order to achieve data interoperability. …”
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Automated data processing and feature engineering for deep learning and big data applications: A survey by Alhassan Mumuni, Fuseini Mumuni

“…Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep learning. …”
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Progress and recommendations in data ethics governance: a transnational analysis based on data ethics frameworks by Yanrui Qiu, Zhimin Hu

“…It is recommended that countries, when improving their data ethics governance systems, integrate their national cultural characteristics based on universal values, draw on wisdom from various academic fields, balance the demands of different stakeholders, and adopt a governance model of legal support—ethical guidance—and regulatory mechanisms, applying diversified governance tools to achieve multi-level collaborative governance.…”
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Synthetic Financial Data: A Case Study Regarding Polish Limited Liability Companies Data by Aleksandra Szymura

“…Analysis on high quality synthetic data allows conclusions similar to analysis on real data to be achieved, while retaining privacy and without publishing sensitive data to third parties.…”
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Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine by Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy

“…We show that by training a GAN model with ERA5 as the low-resolution input and Wind Integration National Dataset Toolkit (WTK) data as the high-resolution target, we achieved results comparable in historical accuracy and spatiotemporal variability to conventional dynamical downscaling. …”
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