>-Original Message-
>From: Nuno Tavares [mailto:nuno.tava...@dri.pt]
>Sent: Tuesday, May 03, 2011 6:21 PM
>To: mysql@lists.mysql.com
>Subject: Re: Join based upon LIKE
>
>Dear Jerry,
>
>I've been silently following this discussion because I've misse
p
> Web site: www.the-infoshop.com
>
>
>> -Original Message-
>> From: shawn wilson [mailto:ag4ve...@gmail.com]
>> Sent: Tuesday, May 03, 2011 4:08 PM
>> Cc: mysql mailing list
>> Subject: Re: Join based upon LIKE
>>
>> I'm actually enjoyi
-mail: je...@gii.co.jp
Web site: www.the-infoshop.com
>-Original Message-
>From: shawn wilson [mailto:ag4ve...@gmail.com]
>Sent: Tuesday, May 03, 2011 4:08 PM
>Cc: mysql mailing list
>Subject: Re: Join based upon LIKE
>
>I'm actually enjoying this discussion beca
I'm actually enjoying this discussion because I have the same type of issue.
However, I have done away with trying to do a full text search in favor of
making a table with unique fields where all fields should uniquely identify
the group. If I get a dupe, I can clean it up.
However, like you, they
- Original Message -
> From: "Jerry Schwartz"
>
> I'm not sure that I could easily build a dictionary of non-junk
> words, since
The traditional way is to build a database of junk words. The list tends to be
shorter :-)
Think and/or/it/the/with/like/...
Percentages of mutual and non-
>-Original Message-
>From: Johan De Meersman [mailto:vegiv...@tuxera.be]
>Sent: Tuesday, May 03, 2011 5:31 AM
>To: Jerry Schwartz
>Cc: Jim McNeely; mysql mailing list; Johan De Meersman
>Subject: Re: Join based upon LIKE
>
>
>http://www.gedpage.com/soundex.html
rom: "Jerry Schwartz"
> To: "Johan De Meersman"
> Cc: "Jim McNeely" , "mysql mailing list"
>
> Sent: Monday, 2 May, 2011 4:09:36 PM
> Subject: RE: Join based upon LIKE
>
> [JS] I've thought about using soundex(), but I'm not q
>-Original Message-
>From: Johan De Meersman [mailto:vegiv...@tuxera.be]
>Sent: Sunday, May 01, 2011 4:01 AM
>To: Jerry Schwartz
>Cc: Jim McNeely; mysql mailing list
>Subject: Re: Join based upon LIKE
>
>
>- Original Message -
>> From: "Jerry S
- Original Message -
> From: "Jerry Schwartz"
>
> I shove those modified titles into a table and do a JOIN ON
> `prod_title` LIKE
> `wild_title`.
Roughly what I meant with the shadow fields, yes - keep your own set of data
around :-)
I have little more to offer, then, I'm afraid. The
2011/04/28 15:28 -0400, Jerry Schwartz
No takers?
And this is not real taking, because the algorithm of which I am thinking, the
edit-distance (Levens(h)tein-distance) algorithm costs too much for you (see
the Wikipedia entry), but it yields, I believe, much more nearly such an
2011/04/28 15:28 -0400, Jerry Schwartz
No takers?
And this is not real taking, because the algorithm of which I am thinking, the
edit-distance (Levens(h)tein-distance) algorithm costs too much for you (see
the Wikipedia entry). The obvious implementation takes as many steps as
>-Original Message-
>From: Jim McNeely [mailto:j...@newcenturydata.com]
>Sent: Thursday, April 28, 2011 6:43 PM
>To: Jerry Schwartz
>Subject: Re: Join based upon LIKE
>
>It just smells wrong, a nicer system would have you joining on ID's of some
>kind so tha
>-Original Message-
>From: Johan De Meersman [mailto:vegiv...@tuxera.be]
>Sent: Friday, April 29, 2011 5:56 AM
>To: Jerry Schwartz
>Cc: mysql mailing list
>Subject: Re: Join based upon LIKE
>
>
>- Original Message -
>> From: "Jerry Schwartz&qu
- Original Message -
> From: "Jerry Schwartz"
>
> [JS] This isn't the only place I have to deal with fuzzy data. :-(
> Discretion prohibits further comment.
Heh. What you *really* need, is a LART. Preferably one of the spiked variety.
> A full-text index would work if I were only looki
>-Original Message-
>From: Johan De Meersman [mailto:vegiv...@tuxera.be]
>Sent: Thursday, April 28, 2011 4:18 PM
>To: Jerry Schwartz
>Cc: mysql mailing list
>Subject: Re: Join based upon LIKE
>
>
>- Original Message -
>> From: "Jerry Schwartz&q
- Original Message -
> From: "Jerry Schwartz"
>
> No takers?
Not willingly, no :-p
This is a pretty complex problem, as SQL itself isn't particularly
well-equipped to deal with fuzzy data. One approach that might work is using a
fulltext indexing engine (MySQL's built-in ft indices,
No takers?
-Original Message-
From: Jerry Schwartz [mailto:je...@gii.co.jp]
Sent: Monday, April 25, 2011 2:34 PM
To: 'Mailing-List mysql'
Subject: Join based upon LIKE
I have to match lists of new publications against our database, so that I can
replace the existing publicati
I have to match lists of new publications against our database, so that I can
replace the existing publications in our catalog. For example,
"The UK Market for Puppies in February 2011"
would be a replacement for
"The UK Market for Puppies in December 2010"
Unfortunately, the publishers aren't
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