Paper Info
Title
Integrating web conceptual modeling and web usage mining
Abstract
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs – called conceptual logs – that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool. Conceptual logs integrate the usual information about user requests with meta-data concerning the structure of the content and the hypertext of a Web application. We apply a data mining language (MINE RULE) to conceptual logs in order to identify different types of patterns, such as: recurrent navigation paths, most frequently visited page contents, and anomalies (e.g., intrusion attempts or harmful usages of resources). We show that the exploitation of the nuggets of information embedded in the logs and of the specialized mining constructs provided by the query languages enables the rapid customization of the mining procedures following to the Web developers’ need. Given our on-field experience, we also suggest that the use of queries in advanced languages, as opposed to ad-hoc heuristics, eases the specification and the discovery of large spectrum of patterns.
Year
DOI
Venue
2004
10.1007/11899402_9
WEBKDD
Keywords
Field
DocType
integrating web,conceptual log,specialized mining,web usage mining,web application,mining procedure,usual information,web log,rich xml web log,webml conceptual model,data mining language,conceptual modeling,web developer,conceptual model,case tool,spectrum,data mining,field experiment,query language,association rule
Query language,World Wide Web,Web mining,Web page,Computer science,Web modeling,Information extraction,Web navigation,Web application,Web service
Conference
Volume
ISSN
ISBN
3932
0302-9743
3-540-47127-8
Citations 
PageRank 
References 
11
0.61
14
Authors
4
Name
Order
Citations
PageRank
Rosa Meo1603113.80
Pier Luca Lanzi21641139.15
Maristella Matera31093111.97
Roberto Esposito46410.87