1 / 15

Rough Sets Theory

2. Outline. IntroductionCharacteristicsExampleProcedures for RSTCore and reduct of attributesToolsFuture Research. 3. 1.Introduction. RST ???Pawlak ??(1982)???????????,1991 ???Rough Set ??(1991)?????Rough Set ??????Rough Set ???????????RST????????????????????????????,????????????????????????

johannes
Download Presentation

Rough Sets Theory

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


    1. Rough Sets Theory Presented by KC Yin

    2. 2 Outline Introduction Characteristics Example Procedures for RST Core and reduct of attributes Tools Future Research Section 1 makes an introduction. Section 2 introduces the Super-Programming model Section 3 introduces the mining association rules problem and the apriori algorithm Section 4 introduces our SPM approach for an apriori-like algorithm Section 5 presents experimental results Section makes a short discussion Finally, we make a conclusion Section 1 makes an introduction. Section 2 introduces the Super-Programming model Section 3 introduces the mining association rules problem and the apriori algorithm Section 4 introduces our SPM approach for an apriori-like algorithm Section 5 presents experimental results Section makes a short discussion Finally, we make a conclusion

    3. 3 1.Introduction RST ???Pawlak ??(1982)???????????,1991 ???Rough Set ??(1991)?????Rough Set ??????Rough Set ??????????? RST????????????????????????????,??????????????????????????????????????? ???????????????????????????,??????????????????

    4. 4 2.RST characteristics ?RST??????,???1982 ???????????????: 1. ??????????????? 2. ??????,??????????????? 3. ?????????,??????????????(inconsistency),?????????????,??????????????(certain)???(possible)???? 4. ?????????????????????

    5. 5 3. Example

    6. 6 3. Example

    7. 7 ????p2 ???????p5 ?????,?????“??”?“????”?“??”?????,????????????????????,?p2 ?p5 ???????????,???????????????,???????????? ??????p1?p3 ?p6(?????)??????????????????????; ???p4 ????????,??????????????????? ????????????????????????????,???????????(Very High)???????;?????(High)???????;??????(Normal)?????????,??“??”????(core)?

    8. 8

    9. 9 4. Procedures for RST 1. ????-???????????; 2. ?????????,????????(full)??????(partial); 3. ???????; 4. ??????(significance)??; 5. ???????

    10. 10 5. Core and reduct of attributes

    11. 11

    12. 12

    13. 13 6.Tools RST ???????Warsaw ?????RSES(Rough Set Exploration System)??2.2?(2005),RSES ??????????????,???????????????????????????????,??????????????????,??????????????????? http://logic.mimuw.edu.pl/~rses/scripts/done.html

    14. 14 7.Future Research ‘????????????????????????????????’,????/???????????/95/?? ‘?????????????????? ‘,??????/?????/94/?? Rough Set Based Feature Selection for Web Usage Mining , Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on

    15. 15 References 1. “???????????????????”, ??????????????, ?????? 95 ?10 ? 2.http://logic.mimuw.edu.pl/~rses/ 3. http://www.knu.edu.tw/lecture/%B4%BF%AE%D5%AA%F8930630%BAt%C1%BF%A5%E6%A5I%B8%EA%AE%C6/Rough%20set-tutorial.doc 4. Zdzislaw Pawlak, Rough Sets: Theoretical Aspects of Reasoning aboutData, Kluwer Academic Publishers, Norwell, MA, 1992 5.http://en.wikipedia.org/wiki/Rough_set#Information_system_framework

More Related