Rough set-based approach to rule generation and rule induction
- 1 December 2002
- journal article
- research article
- Published by Informa UK Limited in International Journal of General Systems
- Vol. 31 (6), 601-617
- https://doi.org/10.1080/0308107021000034353
Abstract
During the last decade, databases have been growing rapidly in size and number as a result of rapid advances in database capacity and management techniques. This expansive growth in data and databases has caused a pressing need for the development of more powerful techniques to convert the vast pool of data into valuable information. For the purpose of strategic and decision-making, many companies and researchers have recognized mining useful information and knowledge from large databases as a key research topic and as an opportunity for major revenues and improving competitiveness. In this paper, we will explore a new rule generation algorithm (based on rough sets theory) that can generate a minimal set of rule reducts, and a rule generation and rule induction program (RGRIP) which can efficiently induce decision rules from conflicting information systems. All the methods will also be illustrated with numerical examples.Keywords
This publication has 11 references indexed in Scilit:
- Why rough sets?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Rough-Set-Based Approach for Classification and Rule InductionThe International Journal of Advanced Manufacturing Technology, 1999
- Rough sets theoryChemometrics and Intelligent Laboratory Systems, 1999
- Automated extraction of medical expert system rules from clinical databases based on rough set theoryInformation Sciences, 1998
- Rough set approach to incomplete information systemsInformation Sciences, 1998
- Rough set extension of Tcl for data miningKnowledge-Based Systems, 1998
- Data mining using extensions of the rough set modelJournal of the American Society for Information Science, 1998
- Managing Uncertainty in Expert SystemsPublished by Springer Science and Business Media LLC ,1991
- Rough classification in incomplete information systemsMathematical and Computer Modelling, 1989
- Rough setsInternational Journal of Parallel Programming, 1982