Explorative data mining on stock data -experimental results and findings

Lay Ki Soon, Sang Ho Lee

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)


This paper presents our preliminary explorative data mining experiments on stock data. The experiments are performed using information gain evaluation, chi-square test and decision tree, which aim to explore the underlying patterns of the stock dataset. The explorative patterns obtained show some unexpected outliers in deriving the influential stocks with regard to Kuala Lumpur Composite Index.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - Third International Conference, ADMA 2007, Proceedings
Number of pages8
ISBN (Print)9783540738701
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference on Advanced Data Mining and Applications 2007 - Harbin, China
Duration: 6 Aug 20078 Aug 2007
Conference number: 3rd
https://link.springer.com/book/10.1007/978-3-540-73871-8 (Proceedings)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4632 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Advanced Data Mining and Applications 2007
Abbreviated titleADMA 2007
Internet address

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