Abstract
Unstructured data, most of it in the form of text files, typically accounts for 85% of an organization’s knowledge stores, but it’s not always easy to find, access, analyze or use (Robb 2004). That is why it is important to use solutions based on text and data mining. This solution is known as duo mining. This leads to improve management based on knowledge owned in organization. The results are interesting. Data mining provides to lead with structuralized data, usually powered from data warehouses. Text mining, sometimes called web mining, looks for patterns in unstructured data — memos, document and www. Integrating text-based information with structured data enriches predictive modeling capabilities and provides new stores of insightful and valuable information for driving business and research initiatives forward.
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Maslankowski, J. (2006). Integration of Text- and Data-Mining Technologies for Use in Banking Applications. In: Nilsson, A.G., Gustas, R., Wojtkowski, W., Wojtkowski, W.G., Wrycza, S., Zupančič, J. (eds) Advances in Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36402-5_83
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DOI: https://doi.org/10.1007/978-0-387-36402-5_83
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