Automatic building of new field association word candidates using search engine
ES Atlam, G Elmarhomy, K Morita, M Fuketa… - Information processing & …, 2006 - Elsevier
With increasing popularity of the Internet and tremendous amount of on-line text, automatic
document classification is important for organizing huge amounts of data. Readers can know …
document classification is important for organizing huge amounts of data. Readers can know …
Improvement of building field association term dictionary using passage retrieval
Field Association (FA) terms are a limited set of discriminating terms that can specify
document fields. Document fields can be decided efficiently if there are many relevant FA …
document fields. Document fields can be decided efficiently if there are many relevant FA …
Co-occurrence-based error correction approach to word segmentation
E Chaowicharat, K Naruedomkul - Cross-Disciplinary Advances in …, 2012 - igi-global.com
A number of word segmentation algorithms have been offered in the past; however, there is
still room for improvement. Co-occurrence-Based Error Correction (CBEC), the proposed …
still room for improvement. Co-occurrence-Based Error Correction (CBEC), the proposed …
[PDF][PDF] Mining unstructured data using field association knowledge
TC Dorji - (No Title), 2010 - dorjipenjore.wordpress.com
Introduce your thesis Page 1 i Cover Page Mining Unstructured Data Using Field Association
Knowledge September 2010 Tshering Cigay Dorji Department of Information Science and …
Knowledge September 2010 Tshering Cigay Dorji Department of Information Science and …
Building new field association term candidates automatically by search engine
M Fuketa, ES Atlam, E Ghada, K Morita… - … Intelligent Information and …, 2006 - Springer
With increasing popularity of the Internet and tremendous amount of on-line text, automatic
document classification is important for organizing huge amounts of data. Readers can know …
document classification is important for organizing huge amounts of data. Readers can know …