Automatic document clustering using topic analysis

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Automatic document clustering using topic analysis
Συγγραφείς: Muscat, Robert, 2nd Computer Science Annual Workshop (CSAW’04)
Στοιχεία εκδότη: University of Malta. Faculty of ICT
Έτος έκδοσης: 2004
Συλλογή: University of Malta: OAR@UM / L-Università ta' Malta
Θεματικοί όροι: Document clustering, Cluster analysis -- Data processing, Cluster analysis -- Computer programs, Search engines -- Technological innovations
Περιγραφή: Web users are demanding more out of current search engines. This can be noticed by the behaviour of users when interacting with search engines [12, 28]. Besides traditional query/results interactions, other tools are springing up on the web. An example of such tools includes web document clustering systems. The idea is for the user to interact with the system by navigating through an organised hierarchy of topics. Document clustering is ideal for unspecified search goals or for the exploration of a topic by the inexpert [21]. Document clustering is there to transform the current interactions of searching through a large amount of links into an efficient interaction where the interaction is navigation through hierarchies. This report will give an overview of the major work in this area, we will also propose our current work, progress and pitfalls which are being tackled. ; peer-reviewed
Τύπος εγγράφου: conference object
Γλώσσα: English
Relation: https://www.um.edu.mt/library/oar//handle/123456789/22445
Διαθεσιμότητα: https://www.um.edu.mt/library/oar//handle/123456789/22445
Rights: info:eu-repo/semantics/openAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Αριθμός Καταχώρησης: edsbas.5135C9F9
Βάση Δεδομένων: BASE
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