Thank you Laurel really good and simple explanation on reducts
@abdullateefbalogun4043
8 жыл бұрын
Thanks laurel..... a very good one... i am expecting more videos from you.
@IvanJRamirez
6 жыл бұрын
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
@neildatu2787
7 жыл бұрын
Thank you. this made me clearly understand reduct:-)
@behnam2534
8 жыл бұрын
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.
@ahohl84
9 жыл бұрын
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
9 жыл бұрын
+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.
@alifawzi4566
8 жыл бұрын
thanks laurel the video is amazing and useful like you if you can make another with fuzzy rough
@toobafatima9311
5 жыл бұрын
can you help me for understanding this concept m not cleared about that
@samking6691
7 жыл бұрын
Thanks so much , if you can display and explain the steps of Rough set using an example.
@donl7737
9 жыл бұрын
Thank you! I like it.
@laurelpowell1398
9 жыл бұрын
+Dongdong Li (Andy) Thanks!
@vikramvins7
8 жыл бұрын
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
7 жыл бұрын
could you make a tutorial on how to start with rough set please
@TheLivingstoneProject
7 жыл бұрын
Is the decision attribute always the right-most value?
@laurelpowell1398
7 жыл бұрын
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
7 жыл бұрын
Laurel Powell Thank you!
@vincentroy1810
6 жыл бұрын
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
6 жыл бұрын
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.
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