IRIS: Our prototype rule generation system

Lisa Singh*, Peter I Scheuermann, Bin Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Our goal is to design a knowledge discovery tool that has the ability to accurately generate rules using concepts and structured data values extracted from semi-structured documents. To date, two of our major contributions have been the design of a system architecture that facilitates the discovery of rules from HTML documents and the development of an efficient association rule algorithm that generates rule sets based on user specified constraints. This paper discusses each of these contributions within the framework of our prototype system IRIS. IRIS allows users to specify a set of constraints associated with a particular domain and then generates association rules based on these constraints. One of the unique features of IRIS is that it generates rules using the more structured component of the HTML documents, as well as the conceptual knowledge extracted from the unstructured blocks of text.

Original languageEnglish (US)
Pages (from-to)75-82
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jan 1 1999

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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