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» Mining Textual Data through Term Variant Clustering : the Te...
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BMCBI
2005
152views more  BMCBI 2005»
13 years 5 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...
IAJIT
2010
155views more  IAJIT 2010»
13 years 2 months ago
Evaluation of text clustering methods using wordnet
: The increasing number of digitized texts presently available notably on the Web has developed an acute need in text mining techniques. Clustering systems are used more and more o...
Abdelmalek Amine, Zakaria Elberrichi, Michel Simon...
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
13 years 11 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
AINA
2007
IEEE
13 years 11 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
KDD
2005
ACM
171views Data Mining» more  KDD 2005»
14 years 5 months ago
Deriving marketing intelligence from online discussion
Weblogs and message boards provide online forums for discussion that record the voice of the public. Woven into this mass of discussion is a wide range of opinion and commentary a...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...