Big Data Era
نویسندگان
چکیده
منابع مشابه
Speech Analysis in the Big Data Era
In spoken language analysis tasks, one is often faced with comparably small available corpora of only one up to a few hours of speech material mostly annotated with a single phenomenon such as a particular speaker state at a time. In stark contrast to this, engines such as for the recognition of speakers’ emotions, sentiment, personality, or pathologies, are often expected to run independent of...
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Possibly you may not know that we are producing data every day, from birth to death. Starting from 2014, Google began collecting genetic and molecular information from thousands of healthy volunteers, in an attempt to allow medical experts to predict the onset of diseases such as heart disease and cancer. The company Evolv extracted millions of applicant data from job openings in hundreds of th...
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1 Doing-Harris K, Livnat Y, Meystre S Automated concept and relationship extraction for the Semi-Automated Ontology Management (SEAM) System Journal of Biomedical Semantics 2015, 6:15 doi:10.1186/s13326 -015-0011-7 Ontology; Natural language processing; Terminology extraction Background: We develop medical-specialty specific ontologies that contain the settled science and common term usage. We ...
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Large data environment is required to build a data mining system for O2O e-commerce. This paper analyzes the characteristics of large data era data, expounds the concept of data mining and the method of traditional data mining. Process: the use of the results of comparative analysis, it combined with the characteristics of the O2O data itself and the needs of modern people to establish a new pr...
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ژورنال
عنوان ژورنال: Journal of Information Processing and Management
سال: 2012
ISSN: 1347-1597,0021-7298
DOI: 10.1241/johokanri.55.543