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- W938634911 abstract "End users leave traces of behavior all over the Web all times. From the explicit or implicit feedback of a multimedia document or a comment in an online social network, to a simple click in a relevant link in a search engine result, the information that we as users pour into the Web defines its actual representation, which is independent for each user. Our usage can be represented by different sources of data, for which different collection strategies must be considered, as well as the merging and cleaning techniques for Web usage data. Once the data is properly preprocessed, the identification of an individual user within the Web can be a complex task. Understanding the whole life of a user within a session in a Web site and the path that was pursued involves advanced data modeling and a set of assumptions which are modified every day, as new ways to interact with the online content are created. The objective is to understand the behaviour and preferences of a web user, also when several privacy issues are involved, which, as of today, are not clear how to be properly addressed. In this chapter, all previous topics regarding the processing of Web usage data are extensively discussed." @default.
- W938634911 created "2016-06-24" @default.
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- W938634911 date "2013-01-01" @default.
- W938634911 modified "2023-09-23" @default.
- W938634911 title "Web Usage Data Pre-processing" @default.
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- W938634911 doi "https://doi.org/10.1007/978-3-642-33326-2_2" @default.
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