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What's the kind of relationship between these algorithm?

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Hi, Everyone

 

I should classify a data (eg. university graduated student's) with some variables and I've to determine the most influenced variable, there are some people suggested me to use best first search technique based on backward chaining method. I've read some journals then I became confused about the relationship of both best first search and also backward chaining. Could you help me to give some explanation about this matter?

Ok you have a single dataset about all student grades. What is the fastest way of determining the third year male and female student in your class with the most consistently high results? How would you eliminate variables?

 

edit

Or better yet given the following dataset http://downloads.mysql.com/docs/world.sql.gz

determine the English speaking cities with the highest population.

Edited by fiveworlds

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