Show simple item record

dc.contributor.authorJoshi, Karuna P.
dc.contributor.authorJoshi, Anupam
dc.contributor.authorYesha, Yelena
dc.contributor.authorKrishnapuram, Raghu
dc.date.accessioned2019-02-01T16:18:54Z
dc.date.available2019-02-01T16:18:54Z
dc.date.issued1999-11-02
dc.descriptionWIDM '99 Proceedings of the 2nd international workshop on Web information and data management
dc.description.abstractAnalyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that generate fixed reports from web logs, they typically do not allow ad-hoc analysis queries. Moreover, such tools cannot discover hidden patterns of access embedded in the access logs. We describe a relational OLAP (ROLAP) approach for creating a web-log warehouse. This is populated both from web logs, as well as the results of mining web logs. We also present a web based ad-hoc tool for analytic queries on the warehouse. We discuss the design criteria that influenced our choice of dimensions, facts and data granularity, and present the results from analyzing and mining the logs.en_US
dc.description.sponsorshipThis work was partially supported by cooperative NSF awards (IIS 9801711 & IIS 980089) to Joshi and Krishnapuram respectively.en_US
dc.description.urihttps://dl.acm.org/citation.cfm?id=319792en_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2ljgs-irux
dc.identifier.citationKaruna Pande Joshi, Anupam Joshi, Yelena Yesha, and Raghu Krishnapuram, Warehousing and Mining Web Logs, Workshop on Web Information and Data Management, 1999 ACM Conference on Information and Knowledge Management (CIKM'99), DOI: 10.1145/319759.319792en_US
dc.identifier.uri10.1145/319759.319792
dc.identifier.urihttp://hdl.handle.net/11603/12686
dc.language.isoen_USen_US
dc.publisherACMen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectweb miningen_US
dc.subjectclusteringen_US
dc.subjectuser interfaceen_US
dc.subjectad hoc analysisen_US
dc.subjectweb logsen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleWarehousing and Mining Web Logsen_US
dc.typeTexten_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record