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Density link-based methods for clustering web pages

Haghir Chehreghani, M ; Sharif University of Technology | 2009

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  1. Type of Document: Article
  2. DOI: 10.1016/j.dss.2009.04.002
  3. Publisher: 2009
  4. Abstract:
  5. World Wide Web is a huge information space, making it a valuable resource for decision making. However, it should be effectively managed for such a purpose. One important management technique is clustering the web data. In this paper, we propose some developments in clustering methods to achieve higher qualities. At first we study a new density based method adapted for hierarchical clustering of web documents. Then utilizing the hyperlink structure of web, we propose a new method that incorporates density concepts with web graph. These algorithms have the preference of low complexity and as experimental results reveal, the resultant clusters have high quality. © 2009 Elsevier B.V. All rights reserved
  6. Keywords:
  7. Density based clustering ; Hierarchical clustering ; Clustering methods ; Clustering web pages ; Density-based Clustering ; Density-based method ; Hier-archical clustering ; High quality ; Hyperlink structure ; Information spaces ; Low complexity ; Management techniques ; Web clustering ; Web data ; Web document ; Web graphs ; Internet ; Websites ; Hypertext systems
  8. Source: Decision Support Systems ; Volume 47, Issue 4 , 2009 , Pages 374-382 ; 01679236 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0167923609000864