Combining forecasts from multiple textual data sources

Wing Sing Cho, Beat Wüthrich

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

These days more and more crucial and commercially valuable information becomes available on the World Wide Web. Also financial services companies are making their products increasingly available on the Web. This paper suggests and investigates six methods to combine multiple categorical predictions that are generated from distributed information available on the World Wide Web.
Original languageEnglish
Title of host publicationMethodologies for Knowledge Discovery and Data Mining - 3rd Pacific-Asia Conference, PAKDD 1999, Proceedings
PublisherSpringer Verlag
Pages174-179
Number of pages6
ISBN (Print)3540658661, 9783540658665
Publication statusPublished - 1 Jan 1999
Externally publishedYes
Event3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999 - Beijing, China
Duration: 26 Apr 199928 Apr 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1574
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999
Country/TerritoryChina
CityBeijing
Period26/04/9928/04/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this