Results 21 to 30 of about 119,353 (308)
Il diritto di Text and Data Mining (TDM) non esiste
L’a. analizza le disposizioni della direttiva copyright nel mercato unico digitale (direttiva (UE) 2019/790: CDSMD) relative alla c.d. eccezione di Text and Data Mining al fine di stabilire se per consentire le attività tecniche implicate dalle ...
Salvatore Orlando
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Improving Laboratories Efficiency through Website Using Text Mining [PDF]
Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
Abeer Tariq
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Robust Benchmark for Propagandist Text Detection and Mining High-Quality Data
Social media, fake news, and different propaganda strategies have all contributed to an increase in misinformation online during the past ten years. As a result of the scarcity of high-quality data, the present datasets cannot be used to train a deep ...
Pir Noman Ahmad +4 more
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Review of Survey Research in Fuzzy Approach for Text Mining
Text mining has been a popular research topic in the field of natural language processing. With the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of
Yi-Wei Lai, Mu-Yen Chen
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Using Text Mining and Data Mining Techniques for Applied Learning Assessment
In a society where first hand work experience is greatly valued many universities or institutions of higher education have designed their Quality enhancement plan (QEP) to address student applied learning.
Jessica Cook +2 more
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Text Mining for Supply Chain Risk Management in the Apparel Industry
Text mining tools are now widely used for the efficient management of information and resources in business, academic and research organizations.
Sayed Mehdi Shah +2 more
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Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance.
Aaryan Gupta +3 more
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A Local Discrete Text Data Mining Method in High-Dimensional Data Space
Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data space is proposed.
Juan Li, Aiping Chen
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ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts
Analysis of high-throughput experiments in the life sciences frequently relies upon standardized information about genes, gene products, and other biological entities.
Elizabeth T. Hobbs +14 more
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TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY [PDF]
The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide ...
Graciela, Gonzalez +7 more
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