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ECML
2007
Springer
13 years 11 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
WWW
2008
ACM
14 years 6 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
BMCBI
2011
12 years 9 months ago
BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
Frank P. Y. Lin, Stephen Anthony, Thomas M. Polase...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 6 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
AIED
2007
Springer
13 years 11 months ago
Helping Courseware Authors to Build Ontologies: The Case of TM4L
The authors of topic map-based learning resources face major difficulties in constructing the underlying ontologies. In this paper we propose two approaches to address this problem...
Darina Dicheva, Christo Dichev