Author/Editor		Rožić-Hristovski, Anamarija; Hristovski, Dimitar; Todorovski, Ljupčo
Title		Odkrivanje vzorcev uporabe spletnih strani knjižnice z metodami podatkovnega rudarjenja
Translated title		Discovering patterns in library website usage using data mining methods
Type		članek
Source		In: Ambrožič M, editor. Strokovno posvetovanje Digitalna knjižnica; 2001 okt 10-12; Radenci. Ljubljana: Zveza bibliotekarskih društev Slovenije,
Publication year		2001
Volume		str. 84-91
Language		slo
Abstract		The websites that libraries are developing for their communities represent an important new aspect of information management. How effectively are librarians meeting the information needs of their clientele? Personalised Web access services are a demand of many users that feel overwhelmed with the information available on the Web. Building a site that satisfies this demand presupposes knowing the site; as it is perceived by its users. To personalise a site according to the requirements of groups of users, users navigation patterns must be discovered and analysed. Web usage analysis extracts knowledge from Web server log files. The Central Medical Library at the Medical Faculty; University of Ljubljana, Slovenia created its website in 1997 and since than has been actively involved in its maintenance and improvement. For the analysis of our website usage recently we have included advanced data mining methods in addition to the more traditional methods we have been using so far. Data mining is a methodology for the extraction of previously unknown patterns and knowledge from large quantities of data. In particular, we use sequence analysis to discover user navigation paths both within a single session and across different sessions by the same user. The knowledge about user behaviour and interests, acquired with the data mining techniques, allows for dynamic restructuring of the website so that the users are always presented with the right content and structure.
Descriptors		LIBRARIES, MEDICAL LIBRARY AUTOMATION LIBRARY MATERIALS COMPUTER COMMUNICATION NETWORKS