River sand and gravel fuel global construction, but their extraction is reshaping rivers, ecosystems, and communities faster ...

To utilize text mining effectively, one must understand the techniques that underpin it. These are not magic; they are ...

With growing focus on the existential threat quantum computing poses to some of the most crucial and widely used forms of encryption, cryptography engineer Filippo Valsorda wants to make one thing ...

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...

Adverse drug reactions (ADRs) are a significant healthcare concern. They are often documented as free text in electronic health records (EHRs), making them challenging to use in clinical decision ...

Abstract: To efficiently mine threat intelligence from the vast array of open-source cybersecurity analysis reports on the web, we have developed the Parallel Deep Forest-based Multi-Label ...

Introduction At the beginning of the COVID-19 pandemic, the UK’s Scientific Committee issued extreme social distancing measures, termed ‘shielding’, aimed at a subpopulation deemed extremely ...

In the heated copyright discussions over generative artificial intelligence, the term “text and data mining” is sometimes used interchangeably with “machine learning” or the “ingestion of material” to ...

Text mining has been shown to be an auxiliary but key driver for modeling, data harmonization, and interpretation in bio-medicine. Scientific literature holds a wealth of information and embodies ...