Closed unintendedbear closed 8 years ago
I prefer "Extracting user activity classification rules via genetic programming" because using GP for rule extraction has been used previously.
Ok, but is it not creepy to start saying "extracting user activity"? Is like screaming BIG BROTHER HERE
Generally the title should have
I miss the "why" or the "what is new" in the title. Other than that, any of them is OK
The purpose of the paper is to decide which methodology is best for obtaining rules: classifiers, association algorithms, or GP. Does this help clarifying? :( Also, I think it's new because so far I don't know anybody who has applied GP to BYOD rule generation... And the kind of data, that is also new.
2016-03-29 9:36 GMT+02:00 Paloma de las Cuevas Delgado < notifications@github.com>:
The purpose of the paper is to decide which methodology is best for obtaining rules: classifiers, association algorithms, or GP. Does this help clarifying? :(
Partly, but you need to say why you need to obtain those rules. You need to frame the problem and motivate it.
Also, I think it's new because so far I don't know anybody who has applied GP to BYOD rule generation... And the kind of data, that is also new.
That is not necessarily a reason. Maybe it was not worth the while. But you need to mention the BYOD context .
Hi,
Would those be ok, maybe?
What do you think ?
Zaineb On Tue, 29 Mar 2016 at 09:56 Juan Julián Merelo Guervós < notifications@github.com> wrote:
2016-03-29 9:36 GMT+02:00 Paloma de las Cuevas Delgado < notifications@github.com>:
The purpose of the paper is to decide which methodology is best for obtaining rules: classifiers, association algorithms, or GP. Does this help clarifying? :(
Partly, but you need to say why you need to obtain those rules. You need to frame the problem and motivate it.
Also, I think it's new because so far I don't know anybody who has applied GP to BYOD rule generation... And the kind of data, that is also new.
That is not necessarily a reason. Maybe it was not worth the while. But you need to mention the BYOD context .
— You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub https://github.com/geneura-papers/2016-PPSN/issues/4#issuecomment-202767027
I'm OK with any. Maybe the first a bit better.
I also like the three of them. thank you! I'm so bad at titles... We will have to compare the results before stating GP is the best, but I will change the title for the first one for the moment.
Good
2016-03-31 18:32 GMT+02:00 Paloma de las Cuevas Delgado < notifications@github.com>:
I also like the three of them. thank you! I'm so bad at titles... We will have to compare the results before stating GP is the best, but I will change the title for the first one for the moment.
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JJ
I inserted the title that I have previously proposed and agreed by @JJ and @unintendedbear.
All @JJ @fergunet @zeinebchelly , please discuss here. Candidates are:
Applying genetic programming for extracting classification rules Extracting user activity classification rules via genetic programming [other]