The problem of analysis of big web data and the use of data mining technology for processing and searching patterns in big web data on a practical example by K. V. Mulyukova, V. M. Kureichik

“…According to the results of the study, it can be argued that the current state of technology for analyzing large web data allows you to efficiently process data objects, identify patterns, get hidden data and get full-fledged statistical data.The obtained results can be used both for the purpose of the initial study of big data processing technologies, and as a basis for developing an already real application for analyzing web data. …”
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Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Qu... by Nicholas LaHaye, Anastasija Easley, Kyongsik Yun, Hugo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

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Transformer-based multimodal precision intervention model for enhancing diaphragm function in elderly patients by Ma Xinli, Zhao Jie, Yan Ming, Zhang Yanping, Li Fan, Jia Jing, Ding Lu

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Discovering customer segments through interaction behaviors for home appliance business by Youngjung Suh

Subjects: “…Big data applications…”
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The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment by Mariem Miledia, Taicir Loukilb, Souhail Dhouiba

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Topological data analysis in air traffic management: The shape of big flight data sets. by Manuel Cuerno, Luis Guijarro, Rosa María Arnaldo Valdés, Fernando Gómez Comendador

“…This analysis serves as a proof of concept, showcasing the potential application of TDA in the ATM field. While previous works have outlined the general applicability of TDA in aviation, this paper marks the first comprehensive application of TDA to a substantial volume of ATM data. …”
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CNC machining data repository: Geometry, NC code & high-frequency energy consumption data for aluminum and plastic machiningMendeley Data by Markus Brillinger, Muaaz Abdul Hadi, Stefan Trabesinger, Johannes Schmid, Florian Lackner

“…Data is often referred to as the ``oil of the future,'' playing a crucial role in various applications, including the training of machine learning models. …”
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The telecommunications customer service model based on big data and data fusion strategy research by Yongmei Gao, Chunhua Ju, Fuguang Bao

“…And also the analyzation of telecommunication data fusion and service mining application was made. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Objective: In this research, our goal is to develop a novel framework to mitigate prediction biases in LA caused by sample limitations and data heterogeneity. This framework integrates machine learning models to establish a universal solution for cross-domain LA estimation in data-scarce situations. …”
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Holistic Survey on Security in IoT Application Layer: Attacks, Protocols, and Applications by N. Sharmila Kumari, H. S. Vimala, C. N. Pruthvi, J. Shreyas

“…Context: The growing number of linked devices, the limitations of some IoT devices, worries about data privacy, risks to physical safety, and the ever-changing threats all highlight why it’s crucial to have strong security measures in the IoT application layer. …”
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Social Data Migration Concept: Analyzing Transborder Data Flows in the Post-Industrial Economy by Anu Masso, Andrew Grotto, Tracey P. Lauriault

“…It advocates embedding data studies within the framework of social transformation theory to transcend the distinction between theory and its empirical application across diverse social and cultural contexts. …”
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Exploring the practical framework for enterprise data assetization from the perspective of data elements evolution by Chen YANG, Xiaoyu LIU, Yuangang LI, Lingyi WEI

“…The assetization of data and the provision of high-quality data elements have amplifying, cumulative and multiplicative effects on empowering the real economy.Current research primarily focuses on theoretical frameworks and critical links of data assetization and lacks systematic thinking and systematic guidance in practical application.This paper introduced a practical framework for operational data assets, termed as the ＆quot;five-stage, six-dimensional＆quot; data assetization model, aiming to explore the scientific problem of “how can enterprises effectively configure and optimize enabling factors of various dimensions to systematically advance the process of data assetization”.By investigating the data products of enterprises in typical industries in Shanghai, the high-quality supply strategy of enterprise data elements was condensed.The applicability of this model in the process of enterprise data capitalization was explored and verified in practice, which provided practical basis for enterprise data capitalization.The formulation and instantiation of the model provide reference to promote the supply of high-quality data elements.…”
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Application of Protocol Buffer in Enterprise Cloud Contacts Abstract This paper introduces the method to use Protocol Buffer to update data in enterprise cloud contacts, and compares the time and size of XML（extensible markup language）, JSON（JavaScript object notation）and Protocol Buffer, through the test data. by Hao Yin, Qiwei Shen, Chun Wang

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Data Slots: trade-offs between privacy concerns and benefits of data-driven solutions by Martina Mazzarello, Fàbio Duarte, Simone Mora, Cate Heine, Carlo Ratti

“…We define a data-driven solution as an application, service, or device that leverages big data. …”
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RESEARCH OF METHODS TO SUPPORT DATA MIGRATION BETWEEN RELATIONAL AND DOCUMENT DATA STORAGE MODELS by Mariia Peretiatko, Mariia Shirokopetleva, Natalya Lesna

“…The following results were obtained: the possibilities of relational algebra and set theory in the context of data models and queries are used, as well as in model redesign, the strategy of migration of data models is chosen, which provides relational and document-oriented data models, the algorithm of application of this method is described. …”
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Data augmentation of time-series data in human movement biomechanics: A scoping review. by Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt

“…<h4>Objective</h4>This scoping review on data augmentation for biomechanical time-series data focuses on examining current techniques, evaluating their effectiveness, and offering recommendations for their application.…”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…The EDA process with RI gave better coherences of 0.55, and it could support the EDA application to handle imbalanced data, eventually improving the classification performance. …”
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An Integrated Drought Index (Vapor Pressure Deficit–Soil Moisture–Sun-Induced Chlorophyll Fluorescence Dryness Index, VMFDI) Based on Multisource Data and Its Applications in Agricultural Drought Management by Caiyun Deng, Li Zhang, Tianhe Xu, Siqi Yang, Jian Guo, Lulu Si, Ran Kang, Hermann Josef Kaufmann

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The emerging role of pathologists in the era of modern medicine. by Shovana Karki

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