Demonstrates the usage of the Indexing & Searching plugin for address data base cleansing.
The workflow uses fuzzy queries to identify typos in a given address data base.
First an index is created on the data table. Once the index has been created it can be queried using a powerful query language.
The query syntax bases on the Lucene query syntax and supports among others phrase queries, wildcard queries, fuzzy queries, proximity queries, range queries, term boosting, grouping and boolean operators.
EXAMPLES Server: 02_ETL_Data_Manipulation/05_Indexing_Searching/03_Example_for_Fuzzy_Address_Matching02_ETL_Data_Manipulation/05_Indexing_Searching/03_Example_for_Fuzzy_Address_Matching*
Download a zip-archive
* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually