Data Preprocessing in Web Usage Mining
AbstractData collected from Web in the first stage of data mining are usually diverse and voluminous. These data must be assembled into a consistent, integrated and comprehensive view, in order to be used for pattern discovery. Like in most applications of data mining, data preprocessing involves removing and filtering redundant and irrelevant data, predicting and filling in missing values, removing noise, transforming and encoding data, as well as resolving any inconsistencies. The task of data transformation and encoding is particularly important for the success of data mining.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Ovidius University of Constantza, Faculty of Economic Sciences in its journal Ovidius University Annals, Economic Sciences Series.
Volume (Year): X (2010)
Issue (Month): 1 (May)
Contact details of provider:
Web page: http://www.univ-ovidius.ro/facultatea-de-stiinte-economice
More information through EDIRC
data preprocessing; data filtering; user identification; users session identification.;
Find related papers by JEL classification:
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jeflea Victor).
If references are entirely missing, you can add them using this form.