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McKiernan, G.: Automated categorisation of Web resources : a profile of selected projects, research, products, and services (1996) 0.04

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Source: New review of information networking. 1996, no.2, S.15-40

Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.02

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Date: 4. 8.2015 19:22:04
Source: Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1817-1831

Möller, G.: Automatic classification of the World Wide Web using Universal Decimal Classification (1999) 0.01

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Imprint: Hinskey Hill : Learned Information
Source: Online information 99: 23rd International Online Information Meeting, Proceedings, London, 7-9 December 1999. Ed.: D. Raitt et al

Choi, B.; Peng, X.: Dynamic and hierarchical classification of Web pages (2004) 0.01
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Abstract

Automatic classification of Web pages is an effective way to organise the vast amount of information and to assist in retrieving relevant information from the Internet. Although many automatic classification systems have been proposed, most of them ignore the conflict between the fixed number of categories and the growing number of Web pages being added into the systems. They also require searching through all existing categories to make any classification. This article proposes a dynamic and hierarchical classification system that is capable of adding new categories as required, organising the Web pages into a tree structure, and classifying Web pages by searching through only one path of the tree. The proposed single-path search technique reduces the search complexity from (n) to (log(n)). Test results show that the system improves the accuracy of classification by 6 percent in comparison to related systems. The dynamic-category expansion technique also achieves satisfying results for adding new categories into the system as required.

Source

Online information review. 28(2004) no.2, S.139-147
Koch, T.: Experiments with automatic classification of WAIS databases and indexing of WWW : some results from the Nordic WAIS/WWW project (1994) 0.01
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Abstract

The Nordic WAIS/WWW project sponsored by NORDINFO is a joint project between Lund University Library and the National Technological Library of Denmark. It aims to improve the existing networked information discovery and retrieval tools Wide Area Information System (WAIS) and World Wide Web (WWW), and to move towards unifying WWW and WAIS. Details current results focusing on the WAIS side of the project. Describes research into automatic indexing and classification of WAIS sources, development of an orientation tool for WAIS, and development of a WAIS index of WWW resources

Chung, Y.-M.; Noh, Y.-H.: Developing a specialized directory system by automatically classifying Web documents (2003) 0.00

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Source: Journal of information science. 29(2003) no.2, S.117-126

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