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Finding Reducts, Heuristics Attribute Selection, KDD Algorithms, Rough Sets 

Laurel Powell
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27 окт 2024

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Комментарии : 21   
@vincentroy1810
@vincentroy1810 6 лет назад
Thank you Laurel really good and simple explanation on reducts
@abdullateefbalogun4043
@abdullateefbalogun4043 8 лет назад
Thanks laurel..... a very good one... i am expecting more videos from you.
@IvanJRamirez
@IvanJRamirez 6 лет назад
Hi Laurel, as usual thanks for this video, have you published some paper using or explaining this technique? I would like to reference your work
@samking6691
@samking6691 7 лет назад
Thanks so much , if you can display and explain the steps of Rough set using an example.
@neildatu2787
@neildatu2787 7 лет назад
Thank you. this made me clearly understand reduct:-)
@behnam2534
@behnam2534 8 лет назад
Thanks so much. It was amazingly clear and helpful. I was just wondering if you have used R to do feature selection by Rough Set Theory? In fact, I would like to use R to do feature selection by Rough Set Theory and I am pretty unsure how to do so. Appreciate it again.
@alifawzi4566
@alifawzi4566 8 лет назад
thanks laurel the video is amazing and useful like you if you can make another with fuzzy rough
@toobafatima9311
@toobafatima9311 5 лет назад
can you help me for understanding this concept m not cleared about that
@ahohl84
@ahohl84 9 лет назад
Hi Laurel! Awesome videos, I appreciate what you're doing! Which/how many attributes do I combine to extract rules if the core is empty? Thanks so much.
@laurelpowell1398
@laurelpowell1398 9 лет назад
+Alexander Hohl Hi Alexander! Thank you for the comment! The process does not change if the core is empty. You still add one attribute at a time, check them and move on to adding two attributes or more until you have fully explained the decision feature. The only change is that when you start trying to create rules, you begin with one attribute rather than one attribute plus the core. I hope this helps.
@donl7737
@donl7737 9 лет назад
Thank you! I like it.
@laurelpowell1398
@laurelpowell1398 9 лет назад
+Dongdong Li (Andy) Thanks!
@vikramvins7
@vikramvins7 8 лет назад
hi mam thnq for ur time giving this session , can i hav any software to do this rough set or matlab code to follow if any u pls suggest me ma'm ,thanking you ma'm
@samking6691
@samking6691 7 лет назад
could you make a tutorial on how to start with rough set please
@vincentroy1810
@vincentroy1810 6 лет назад
When searching the core.What happen if we need to hide 2 or 3 attributes before we find indiscernibility relation? can we conclude that the core is multiple-attributes??
@laurelpowell1398
@laurelpowell1398 6 лет назад
Regarding your question, sometimes there is not one single indispensable attribute but several. One method to find the core is after trying removing all the attributes in sets of one try removing attributes in sets of two and then three, etc.. This can tell you if the core has multiple attributes. In more complex larger datasets, a multi-attribute core is more common.
@vincentroy1810
@vincentroy1810 6 лет назад
Thanks laurel it will help me in my research
@TheLivingstoneProject
@TheLivingstoneProject 7 лет назад
Is the decision attribute always the right-most value?
@laurelpowell1398
@laurelpowell1398 7 лет назад
No, that is just a formatting method that I like to use, it makes it easier to keep track of the decision attribute visually. Thanks!
@TheLivingstoneProject
@TheLivingstoneProject 7 лет назад
Laurel Powell Thank you!
@peeintea
@peeintea 5 лет назад
Laurel i love you
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