Discretization of Multidimensional Web Data for Informative Dense Regions Discovery

Edmond H. Wu, Michael K. Ng, Andy M. Yip, Tony F. Chan

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

Dense regions discovery is an important knowledge discovery process for finding distinct and meaningful patterns from given data. The challenge in dense regions discovery is how to find informative patterns from various types of data stored in structured or unstructured databases, such as mining user patterns from Web data. Therefore, novel approaches are needed to integrate and manage these multi-type data repositories to support new generation information management systems. In this paper, we focus on discussing and purposing several discretization methods for large matrices. The experiments suggest that the discretization methods can be employed in practical Web applications, such as user patterns discovery.

Original languageEnglish
Title of host publicationComputational and Information Science
Subtitle of host publicationFirst International Symposium, CIS 2004, Shanghai, China, December 16-18, 2004, Proceedings
PublisherSpringer Berlin Heidelberg
Pages718-724
Number of pages7
ISBN (Electronic)9783540304975
ISBN (Print)9783540241270
DOIs
Publication statusPublished - 3 Dec 2004
EventFirst International Symposium on Computational and Information Science, CIS 2004 - Shanghai, China
Duration: 16 Dec 200418 Dec 2004
https://link.springer.com/book/10.1007/b104566

Publication series

NameLecture Notes in Computer Science
Volume3314
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameCIS: International Conference on Computational and Information Science

Conference

ConferenceFirst International Symposium on Computational and Information Science, CIS 2004
Country/TerritoryChina
CityShanghai
Period16/12/0418/12/04
Internet address

Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

User-Defined Keywords

  • Dense regions discovery
  • Discretization
  • Web information system
  • Web mining

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