You can use Oracle Data Mining unstructured data.
A.
TRUE
B.
FALSE
Explanation:
Data that cannot be meaningfully interpreted as numerical or categorical is
considered
unstructured for purposes of data mining. It has been estimated that as much as 85%
of enterprise data falls into this category. Extracting meaningful information from this
unstructured data can be critical to the success of a business.
Unstructured data may be binary objects, such as image or audio files, or text objects,
which are language-based. Oracle Data Mining supports text objects.
Text must undergo a transformation process before it can be mined. Once the data has
been properly transformed, the case table can be used for building, testing, or scoring
data mining models. Most Oracle Data Mining algorithms support text
Reference: Oracle Data Mining, Concepts 11g Release 1 (11.1)
http://download.oracle.com/docs/cd/B28359_01/datamine.111/b28129.pdf