PAKDD 2006 Data Mining Competition

 

 

 

 

 

Participation Guidelines

 

 

Entry Categories – There are three entry categories as follows:

University Category – For tertiary students currently enrolled in an undergraduate degree program at a university

Polytechnic Category – For tertiary students currently enrolled in a diploma program at a polytechnic

Open Category – Open to all (including university postgraduates)

Note: Group entries are permitted for all entry categories.

Free Registration - Potential competition participants are required to register the following information via email to nnoriel@gmail.com :

(1) Full Name, (2) Occupation, (3) Company/Institution, (4) Postal Address, (5) Telephone Number (including country/area codes), (6) Email Address, (7) Entry Category, and (8) whether or not entrant is willing to let organizers publish their submitted write-up in any form (YES/NO)

Those applying under the University and Polytechnic entry categories are required to supply a valid email address from their respective educational institution.

For group entries, please note that registration and contact information will need to be submitted for all members of your team.

Upon successful registration, the dataset will be emailed to the entrant in the form of tab-delimited text files (will require appending). A data dictionary will also be provided.

Submissions

Participants are required to email to nnoriel@gmail.com a tab-delimited text file that contains the ID field and their prediction for the target field “Customer_Type” (2G/3G) from the holdout sample.  Entrants are also required to email a write-up that includes the following:

a)      Approach and understanding of the problem

b)      Full technical details of algorithm(s) used

c)       Details of  the classification model that was produced

d)      Discussion on what insights can be gained from their model in terms of identifying current 2G customers with the potential to switch to 3G (e.g. using false positives?)

Write-ups are to be submitted in English in either Word or PDF format.

 

 

 

 

 

 

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