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• W44295102 abstract "Technology Intelligence (TI) systems provide a mechanism for identifying business opportunities and threats. Until now, despite the increasing interest on TI, little attention has been paid to the analysis techniques and procedures for supporting TI, especially the tools which focus on the data stored in unstructured documents. With the dramatic growth of documents captured and stored by organisations in the attempt to provide purposeful intelligence, the development of an application framework for how to build such mining tools would be extremely timely. Detailed guidelines on how to analyse data and develop such tools to meet specific needs of decision makers are in urgent need. Therefore, this research aims to understand how companies can extract TI systematically from a plenty of documents. Guidance will be developed to support intelligence operatives to find suitable techniques and software for getting value from document mining." @default.
• W44295102 created "2016-06-24" @default.
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• W44295102 date "2008-10-13" @default.
• W44295102 modified "2023-09-25" @default.
• W44295102 title "Discovering Technology Intelligence from Document Data in an Organisation" @default.
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• W44295102 doi "https://doi.org/10.1007/978-3-540-85190-5_39" @default.
• W44295102 hasPublicationYear "2008" @default.
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