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  1. 7 de mai. de 2024 · Frontiers in Big Data. doi 10.3389/fdata.2022.1025256. 2,516 views. 4 citations. Part of an innovative multidisciplinary journal, focusing on innovative research and practice related to data analytics, AI, machine learning for positive and equitable social impact.

  2. 10 de mai. de 2024 · This study collects data on digital technology administrative penalty (DTAP) and big data technology innovation (BDTI) from 2008 to 2020 in 281 cities in China and empirically evaluates the...

  3. Há 4 dias · The term Big data, represents a vaguely defined term that describes a large amount of complex data sets and, at the same time, describes advanced technology for data collection and storage . According to McKinsey Global Institute “Big Data refers to data sets whose size is beyond the capacity of typical database software tools to capture, store, manage and analyze” [ 6 ].

  4. 16 de mai. de 2024 · Big data is produced from multiple data sources like mobile apps, social media, emails, transactions or Internet of Things (IoT) sensors, resulting in a continuous stream of varied digital material. The diversity and constant growth of big data makes it inherently difficult to extract tangible value from it in its raw state.

  5. 8 de mai. de 2024 · Big data analytics studies enormous and complex datasets of structured, unstructured and semi-structured data, particularly datasets from new data sources, to uncover hidden patterns and correlations by applying advanced analytical techniques such as regression, clustering, classification, and correlation.

  6. 26 de mai. de 2024 · Travis Tang. January 21, 2022. Big Data. How Data Discovery Tools Enable Data Democratization. Understand how top-performing companies solve data discovery challenges to drive data fluency at scale. Kevin Babitz. March 26, 2021. Big Data. How Thick Data Compliments Big Data. Everyone wants to have a handle on big data.

  7. Há 4 dias · Big Data Networks; Big Data and AI in High Energy Physics; Cybersecurity and Privacy; Data Analytics for Social Impact; Data Mining and Management; Data Science; Data-driven Climate Sciences; Machine Learning and Artificial Intelligence; Medicine and Public Health; Recommender Systems