Clustering and Relational Ambiguity: from Text Data to Natural Data
Text data is often seen as "take-away" materials with little noise and easy to process information. Main questions are how to get data and transform them into a good document format. But data can be sensitive to noise oftenly called ambiguities. Ambiguities are aware from a long time, main...
Main Author: | Nicolas Turenne |
---|---|
Format: | Article |
Language: | English |
Published: |
Nicolas Turenne
2014-06-01
|
Series: | Journal of Data Mining and Digital Humanities |
Subjects: | |
Online Access: | https://jdmdh.episciences.org/4/pdf |
Similar Items
-
Pengekstrakan data berasaskan pendekatan ontologi : kes data jujukan hidrologi /
by: 392245 Ahmad Ghadaffi Abd. Hamid
Published: (2005) -
Pengekstrakan data berasaskan pendekatan ontologi [compact disc] : kes data jujukan hidrologi /
by: 392245 Ahmad Ghadaffi Abd. Hamid
Published: (2005) -
Concept data analysis : theory and applications /
by: 415526 Carpineto, Claudio, et al.
Published: (2004) -
Text mining of CRM data using decision tree induction and support vector machines.
by: Cheung, Chee Wai.
Published: (2010) -
A framework for extracting, classifying, analyzing, and presenting information from semi-structured web data sources
by: Shaker, Mahmoud, et al.
Published: (2010)