geneura-papers / 2017-GPRuleRefinement

Repository for the GPRuleRefinement paper to be sent to a Journal.
Artistic License 2.0
0 stars 0 forks source link

To decide a proper title #4

Closed unintendedbear closed 8 years ago

unintendedbear commented 8 years ago

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]

fergunet commented 8 years ago

I prefer "Extracting user activity classification rules via genetic programming" because using GP for rule extraction has been used previously.

unintendedbear commented 8 years ago

Ok, but is it not creepy to start saying "extracting user activity"? Is like screaming BIG BROTHER HERE

JJ commented 8 years ago

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

unintendedbear commented 8 years ago

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.

JJ commented 8 years ago

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 .

zeinebchelly commented 8 years ago

Hi,

Would those be ok, maybe?

  1. A novel BYOD security rules extraction technique based on genetic programming.
  2. A novel application of genetic programming to the BYOD security context.
  3. A new rules extraction technique based on genetic programming and it's application to the BYOD security context.

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

JJ commented 8 years ago

I'm OK with any. Maybe the first a bit better.

unintendedbear commented 8 years ago

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.

JJ commented 8 years ago

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.

— 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-204011033

JJ

zeinebchelly commented 8 years ago

I inserted the title that I have previously proposed and agreed by @JJ and @unintendedbear.