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- W2093482789 abstract "Text data constitutes the bulk of all enterprise data. Text repositories are not only tacit store-houses of knowledge about its people, projects and processes but also contain invaluable information about its customers, competitors, suppliers, partners and all other stakeholders. Mining this data can provide interesting and valuable insights provided it is appropriately integrated with other enterprise data. In this paper we propose a framework for text-driven analysis of multi-structured data." @default.
- W2093482789 created "2016-06-24" @default.
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- W2093482789 date "2013-11-01" @default.
- W2093482789 modified "2023-09-26" @default.
- W2093482789 title "Text-Driven Multi-structured Data Analytics for Enterprise Intelligence" @default.
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- W2093482789 doi "https://doi.org/10.1109/wi-iat.2013.186" @default.
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