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A similarity-based search engine for NBA teams

Posted: Wed Apr 18, 2012 7:36 pm
by Stockato
I developed a small trends-based search engine to find performance similarities between NBA basketball teams.

The user specifies the name of an NBA basketball team, and receives a list of similarly behaving other NBA teams. The similarity analysis is based on trends of performance from 1946 to 2009, and the performance measure is the wins/losses rate per year.

http://stockatowebsite.cloudapp.net/nbateams.html

Your opinions and suggestions are welcomed!

Uri K.

Re: A similarity-based search engine for NBA teams

Posted: Wed Apr 18, 2012 10:32 pm
by Mike G
It doesn't open for me.
Can you explain what you mean by "trends-based search" ?

Re: A similarity-based search engine for NBA teams

Posted: Thu Apr 19, 2012 3:04 am
by EvanZ
As far as I can tell, it's using time series correlation (similar to Google Trends). I can't get it to work either though.

Re: A similarity-based search engine for NBA teams

Posted: Thu Apr 19, 2012 8:16 pm
by Stockato
Take a look at the image:

Image

"trends-based search" or ("pattens-based search") is a search based on finding similar patterns, for eaxample, Trends2 is more similar to Trend1 than Trend3:

Trend1: 1,5,6,3,2
Trend2: 2,4,7,3,1
Trend3: 8,3,6,1,8

-U.

Re: A similarity-based search engine for NBA teams

Posted: Thu Apr 19, 2012 10:05 pm
by EvanZ
Is it anything more complicated than correlation between two time series? That's what it looks like to me.

Re: A similarity-based search engine for NBA teams

Posted: Thu Apr 19, 2012 10:23 pm
by Stockato
High correlation is the result, not the search procedure itself.

It's like saying on Google - "is it anything more complicated than finding expressions that are similar to one another?" - basically, this is what it is, but it's more than that.

For a small amount of data simple, correlations might be a solution, but for many signals, which are also long (say thousands of observations per signal) you need more than using correlation coefficients.

-U.