Results 31 to 40 of about 140,502 (288)
Text-mining research in genomics [PDF]
Biomedical text-mining have great promise to improve the usefulness of genomic researchers. The goal of text-mining is analyzed large collections of unstructured documents for the purposes of extracting interesting and non-trivial patterns of knowledge ...
Moya-Anegón, Félix, Gálvez, Carmen
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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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A text-mining system for extracting metabolic reactions from full-text articles [PDF]
Background: Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway—metabolic pathways—
Czarnecki, Jan M. +12 more
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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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L'analyse des masses de données textuelles nécessite l'utilisation de méthodes mêlant harmonieusement différentes disciplines comme l'informatique, la linguistique ou les statistiques. L'ensemble de ces méthodes utiles pour traiter de telles données, souvent hétérogènes, forme le socle de la Science des Données Textuelles.
openaire +2 more sources
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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