Organizations generate and collect large volumes of textual data, which they use in daily operations. Unfortunately, many companies are unable to capitalize fully on the value of this data because information implicit within it is not easy to discern, In short, most organizations are unsure of how to extract the underlying business or research knowledge contained in their vast deposits of textual information such as articles, e-mails, web pages, memoranda, and surveys and are unable to integrate the textual
information with traditional structured data sources to enrich the overall data mining process.
Primarily intended for business analysts and statisticians across multiple industries such as retail, telecommunications, financial services,
government and pharmaceuticals, this book provides an introduction to the
types of problems encountered and current available text mining solutions.
It will also be suitable for use in undergraduate courses specializing in
this area, and in business-oriented graduate and post graduate courses.
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Alessandro Zanasi is a security research advisor and professor at Bologna University, Italy. Before he served as Carabinieri officer in Rome Scientific Investigations Center; IBM executive in Italy, Paris and San Jose (USA); META Group analyst; cofounder of Temis SA. As an intelligence specialist, he has been advising governments and corporations in security, intelligence and detection technologies for more than twenty years. Among the others: European Commission through his membership, since 2005, to ESRAB-European Security Research Advisory Board and, since 2007, to ESRIF-European Security Research and Innovation Forum.
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