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Title: INTEGRATION OF STRUCTURED AND UNSTRUCTURED DATA IN THE ANALYSIS OF E-COMMERCE CUSTOMERS
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INTEGRATION OF STRUCTURED AND UNSTRUCTURED DATA IN THE ANALYSIS OF E-COMMERCE CUSTOMERS
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1314-2704
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English
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18
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2.1
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The main reason for the rapid development of e-commerce is the possibility of personalization and individual customer service. Modern e-commerce systems have diverse and well-developed capabilities to analyse and manage customer relationships. In most cases, however, these analytical systems are based on processing and analysis of structured customer data, those that are collected at registration and stored in the database. It is important to note that many of the customers when completing registration forms do not always fill in their data properly because of the lack of sufficient motivation or for security reasons. In addition, it is sometimes difficult to derive sufficiently detailed information about customer behavior from this data alone. What's more - in this case one of the major challenges to the development of e-commerce is the search for and use of additional data sources for customers. That is why we propose for business analyses in the field of electronic commerce the integrated use of the data accumulated in the databases and the data obtained from the processing of unstructured information, deriving mainly from additional surveys and from different Internet sources. Data Mining Methods were used to analyze the resulting integrated data, and the approbation was done with a RapidMiner software product.
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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499-506
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02-08 July, 2018
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website
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cdrom
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557
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Data Mining; E-commerce Customers; Integration; Structured and Unstructured Data; RapidMiner
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