Results 11 to 20 of about 119,353 (308)
Untangling text data mining [PDF]
Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics -, 1999 The possibilities for data mining from large text collections are virtually untapped. Text expresses a vast, rich range of information, but encodes this information in a form that is difficult to decipher automatically. Perhaps for this reason, there has been little work in text data mining to date, and most people who have talked about it have either ...
Marti A. Hearst
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Licensing Challenges Associated With Text and Data Mining: How Do We Get Our Patrons What They Need?
Journal of Librarianship and Scholarly Communication, 2023 Today’s researchers expect to be able to complete text and data mining (TDM) work on many types of textual data. But they are often blocked more by contractual limitations on what data they can use, and how they can use it, than they are by what data may
Emma Raub, Peter McCracken
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Ontology of core data mining entities [PDF]
, 2014 In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
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Informatics in Medicine Unlocked, 2018 Salmonella typhi are Gram-negative pathogen causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to Omptin family, plays a central role at the host-pathogen interface. In the present study, S.
Gopinath Samykannu +2 more
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Informatics in Medicine Unlocked, 2019 Salmonella typhi is a Gram-negative pathogen that causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to the Omptin family, and plays a central role at the host-pathogen interface.
Gopinath Samykannu +2 more
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Identification of Text Mining Use Cases In Manufacturing Companies
Proceedings of the Conference on Production Systems and Logistics, 2023 Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural
Clemens, Florian +4 more
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Towards a general open dataset and model for late medieval Castilian text recognition (HTR/OCR) [PDF]
Journal of Data Mining and Digital Humanities, 2023 Submitted to the Journal of Data Mining and Digital Humanities, and accepted. Pending last revisions. Please cite: @article{gille_levenson_2023_towards, author = {Gille Levenson, Matthias}, date = {2023}, journaltitle = {Journal of Data Mining and ...
Matthias Gille Levenson
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A day in the life of a content miner and team
Insights: The UKSG Journal, 2016 It’s tough for Peter getting out of bed today – yesterday he travelled to Brussels and back, fighting for ‘The Right to Read is the Right to Mine’ (R2RR2M). Content mining – also known as text and data mining (TDM) – is a hot topic in Europe.
Tom Arrow +2 more
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The Social, Political and Legal Aspects of Text and Data Mining (TDM) [PDF]
, 2014 The ideas of textual or data mining (TDM) and subsequent analysis go back hundreds if not thousands of years. Originally carried out manually, textual and data analysis has long been a tool which has enabled new insights to be drawn from text corpora ...
Brook, M. +5 more
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ACR Open Rheumatology, 2021 Objective Electronic health records (EHR) are increasingly being recognized as a major source of data reusable for medical research and quality monitoring, although patient identification and assessment of symptoms (characterization) remain challenging ...
Tammo E. Brunekreef +6 more
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