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Data, text and web mining for business intelligence: a survey [PDF]
International Journal of Data Mining & Knowledge Management
Process (IJDKP) Vol.3, No.2, March 2013, 2013 The Information and Communication Technologies revolution brought a digital world with huge amounts of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden knowledge in large databases or the Internet.
arxiv +1 more source
Twitter and Research: A Systematic Literature Review Through Text Mining
IEEE Access, 2020 Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers.
A. Karami +3 more
semanticscholar +1 more source
Utilization of text mining as a big data analysis tool for food science and nutrition.
Comprehensive Reviews in Food Science and Food Safety, 2020 Big data analysis has found applications in many industries due to its ability to turn huge amounts of data into insights for informed business and operational decisions.
Dandan Tao, Pengkun Yang, H. Feng
semanticscholar +1 more source
Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BMC Medical Informatics and Decision Making, 2019 Background Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Yifei Wang +2 more
doaj +1 more source
Annotation and detection of drug effects in text for pharmacovigilance
Journal of Cheminformatics, 2018 Pharmacovigilance (PV) databases record the benefits and risks of different drugs, as a means to ensure their safe and effective use. Creating and maintaining such resources can be complex, since a particular medication may have divergent effects in ...
Paul Thompson +5 more
doaj +1 more source
Text Mining in Biomedical Domain with Emphasis on Document Clustering [PDF]
Healthcare Informatics Research, 2017 ObjectivesWith the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published.
Vinaitheerthan Renganathan
doaj +1 more source
Improving reference prioritisation with PICO recognition
BMC Medical Informatics and Decision Making, 2019 Background Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study characteristics, which include ...
Austin J. Brockmeier +3 more
doaj +1 more source
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
doaj +1 more source
Efficient Analysis of Pattern and Association Rule Mining Approaches [PDF]
International Journal of Information Technology and Computer
Science (IJITCS), vol.6, no.3, pp.70-81, 2014, 2014 The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining
arxiv +1 more source
Text Mining for Supply Chain Risk Management in the Apparel Industry
Applied Sciences, 2021 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
doaj +1 more source