Results 1 to 10 of about 120,163 (264)
Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions [PDF]
Frontiers in Big Data, 2023 Subsurface interpretations and models rely on knowledge from subject matter experts who utilize unstructured information from images, maps, cross sections, and other products to provide context to measured data (e. g., cores, well logs, seismic surveys).
Brendan Hoover +10 more
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Intricacies of Unstructured Data [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2017 This research paper is an attempt to explore unstructured data that has taken the world of data science by storm. Handling the unprecedented growth of unstructured data is a big challenge faced by most data scientists.
Rajeshwari K Rai
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Research of unstructured data interpretation problems
Российский технологический журнал, 2021 The term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them.
V. S. Tomashevskaya, D. A. Yakovlev
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A FRAMEWORK FOR ANALYSING UNSTRUCTURED DATA IN COMPUTING DEVICES
ICTACT Journal on Soft Computing, 2021 In recent years all the real-world digital equipment’s are generating enormous amount of data because of technological development. Those data are unstructured and hard to analyse.
J Dhayanithi +3 more
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Acta Informatica Pragensia, 2023 The third most common cause of death worldwide is attributed to pulmonary diseases, making it imperative to diagnose them promptly. Radiology is a medical discipline that utilizes medical imaging to guide treatment.
Shashank Shetty +2 more
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KULA, 2022 Although data reusers request information about how research data was created and curated, this information is often non-existent or only briefly covered in data descriptions.
Lisa Börjesson +5 more
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Bioengineering, 2023 Background: Although electronic health records (EHR) provide useful insights into disease patterns and patient treatment optimisation, their reliance on unstructured data presents a difficulty.
Tim Dong +12 more
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Multi-Layout Invoice Document Dataset (MIDD): A Dataset for Named Entity Recognition
Data, 2021 The day-to-day working of an organization produces a massive volume of unstructured data in the form of invoices, legal contracts, mortgage processing forms, and many more.
Dipali Baviskar +2 more
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Entropy, 2023 Basketball is a popular sport worldwide, and many researchers have utilized various machine learning models to predict the outcome of basketball games. However, prior research has primarily focused on traditional machine learning models.
Kai Zhao, Chunjie Du, Guangxin Tan
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The emerging role of real-world data in oncology care in Japan
ESMO Real World Data and Digital Oncology, 2023 While the number of newly approved anticancer therapies has increased substantially in the past decade, there remains a need to bring effective treatments to patients more efficiently.
H. Bando +17 more
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