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The PRIDE Affinity-Proteomics Archive (PRIDE-AP): Making Affinity Proteomics Data FAIR

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Kundu DJ   +22 more
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Web Usage Mining

2010
In previous chapters, we have discussed the techniques with respect to Web content and Web linkage mining. These mining processes are mainly performed on the Web page itself, either from the perspective of textual content or from the perspective of linking property.
Guandong Xu, Yanchun Zhang, Lin Li
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Temporal Web usage mining

Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003), 2004
Temporal Web usage mining involves application of data mining techniques on temporal Web usage data to discover temporal patterns, which describe the temporal behavior of Web users. Clusters and associations in Web usage mining do not necessarily have crisp boundaries. We introduce the temporal Web usage mining of Web users on one educational Web site,
Mofreh Hogo   +2 more
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A web usage mining algorithm for web personalization

Intelligent Decision Technologies, 2008
The explosive growth of the web is at the basis of the great interest into web usage mining techniques in both the commercial and academic communities. This paper presents a classification algorithm for web personalization based on web usage mining techniques.
PICARIELLO, ANTONIO, SANSONE, CARLO
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Web Usage Mining

International Journal of Technology Diffusion, 2012
The technological revolutions have opened up new ways of information and communication. The Internet is growing as a vital source of information in this modern era of technology. The ever increasing volume of information through WWW is creating complexity in the design, development and deployment of WWW. It has become important for the organizations to
Moiz Uddin Ahmed, Amjad Mahmood
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Web usage mining with semantic analysis

Proceedings of the 22nd international conference on World Wide Web, 2013
Web usage mining has traditionally focused on the individual queries or query words leading to a web site or web page visit, mining patterns in such data. In our work, we aim to characterize websites in terms of the semantics of the queries that lead to them by linking queries to large knowledge bases on the Web.
Laura Hollink, Peter Mika, Roi Blanco
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