Results 11 to 20 of about 119,587 (309)
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
openaire +3 more sources
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
core +1 more source
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
doaj +1 more source
Adaptive text mining: Inferring structure from sequences [PDF]
, 2004 Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
core +1 more source
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
doaj +1 more source
SparkText: Biomedical Text Mining on Big Data Framework. [PDF]
PLoS ONE, 2016 BACKGROUND:Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments.
Zhan Ye +4 more
doaj +1 more source
Text Analytics for Android Project [PDF]
, 2014 Most advanced text analytics and text mining tasks include text classification, text clustering, building ontology, concept/entity extraction, summarization, deriving patterns within the structured data, production of granular taxonomies, sentiment and ...
Jackute, Ieva +9 more
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Automated pipeline for superalloy data by text mining
npj Computational Materials, 2022 Data provides a foundation for machine learning, which has accelerated data-driven materials design. The scientific literature contains a large amount of high-quality, reliable data, and automatically extracting data from the literature continues to be a
Weiren Wang +7 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
core +1 more source
Weka: A machine learning workbench for data mining [PDF]
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 more
core +1 more source