<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
<p>This plug-in adds fuzzy search functionality to Datatables. It does this through a combination of exact matching and the <ahref=
<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <ahref=
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
plugin.</p>
plugin.</p>
<ulclass="markdown">
<ulclass="markdown">
@ -84,7 +84,7 @@ $(document).ready(function() {
</ul>
</ul>
<p>This example demonstrates the use of the <code>fuzzySearch.rankColumn</code> initialisation option. The default value for this option is undefined which will lead to the
<p>This example demonstrates the use of the <code>fuzzySearch.rankColumn</code> initialisation option. The default value for this option is undefined which will lead to the
similarity not being displayed in any column. In this example <code>fuzzySearch.rankColumn</code> is set to <code>6</code> which is the column on the far right of
similarity not being displayed in any column. In this example <code>fuzzySearch.rankColumn</code> is set to <code>6</code> which is the column on the far right of
the table. When usingfuzzy searching this column will be updated with the similarity value found within the rows data. When normal searching is being used this
the table. When usingfuzzy searching this column will be updated with the similarity value found within the rows data. When normal searching is being used this
column is not updated to include a value. The type that must be used for <code>fuzzySearch.rankColumn</code> is <code>number</code>. The full range of Datatables
column is not updated to include a value. The type that must be used for <code>fuzzySearch.rankColumn</code> is <code>number</code>. The full range of Datatables
column selectors cannot be used here as the value is used to index internal arrays rather than using the Datatables API</p>
column selectors cannot be used here as the value is used to index internal arrays rather than using the Datatables API</p>
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
<p>This plug-in adds fuzzy search functionality to Datatables. It does this through a combination of exact matching and the <ahref=
<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <ahref=
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
<p>This plug-in adds fuzzy search functionality to Datatables. It does this through a combination of exact matching and the <ahref=
<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <ahref=
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
<p>This plug-in adds fuzzy search functionality to Datatables. It does this through a combination of exact matching and the <ahref=
<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <ahref=
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
plugin.</p>
plugin.</p>
<ulclass="markdown">
<ulclass="markdown">
@ -92,7 +92,7 @@ $(document).ready(function() {
of "sockssssssssssssssss". Here the longer of the two values is the search value, which is 20 characters long. There are 3 matching letters mid string - "cks".
of "sockssssssssssssssss". Here the longer of the two values is the search value, which is 20 characters long. There are 3 matching letters mid string - "cks".
The "Ja" preceeding the "cks" requires a substitution of 2 to make the strings match. The "on" following the "cks" also requres a substitution of 2 to make the
The "Ja" preceeding the "cks" requires a substitution of 2 to make the strings match. The "on" following the "cks" also requres a substitution of 2 to make the
strings match. The remaining 13 "s"s are deleted, this gives a total change score of 17. Dividing that by the longest length (20) gives a value of 0.85. Subtracting
strings match. The remaining 13 "s"s are deleted, this gives a total change score of 17. Dividing that by the longest length (20) gives a value of 0.85. Subtracting
that value from one gives a similarity score of 0.15. This would therefore pass in the below example where the threshold is one. For obvious reasons, it is not
that value from one gives a similarity score of 0.15. This would therefore pass in the below example where the threshold is 0.1. For obvious reasons, it is not
recommended that you set the threshold value that low.</p>
recommended that you set the threshold value that low.</p>
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
<p>Fuzzy searching is used in search engines and databases to perform searches that will match results that are not necessarily exactly the same as the search
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
term. This allows spelling mistakes and typos to be accounted for. It also allows small changes in dialect not to affect search results. A commonly used example is
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
for surname searching. "Smith" and "Smythe" are pronounced the same way, but using conventional searching typing "Smith" would not return "Smythe".</p>
<p>This plug-in adds fuzzy search functionality to Datatables. It does this through a combination of exact matching and the <ahref=
<p>This plug-in adds fuzzy search functionality to DataTables. It does this through a combination of exact matching and the <ahref=
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this
"https://github.com/tad-lispy/node-damerau-levenshtein">Damerau-Levenshtein algorithm</a>. There are three initialisation options that are associated with this