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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????????????????????????????,????????????????????????

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Rough Sets Theory

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    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

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