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BMCBI
2008
139views more  BMCBI 2008»
13 years 7 months ago
New challenges for text mining: mapping between text and manually curated pathways
Background: Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of th...
Kanae Oda, Jin-Dong Kim, Tomoko Ohta, Daisuke Okan...
DGO
2007
192views Education» more  DGO 2007»
13 years 8 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
KYOTODL
2000
140views more  KYOTODL 2000»
13 years 8 months ago
Text Data Mining: Discovery of Important Keywords in the Cyberspace
This paper describes applications of the optimized pattern discover),framework to text and Webmining. In particular; we introduce a class of simple combinatorialpatterns over phra...
Hiroki Arimura, Jun-ichiro Abe, Hiroshi Sakamoto, ...
SIGCSE
2006
ACM
163views Education» more  SIGCSE 2006»
14 years 1 months ago
TextMOLE: text mining operations library and environment
The paper describes the first version of the TextMOLE (Text Mining Operations Library and Environment) system for textual data mining. Currently TextMOLE acts as an advanced inde...
Daniel B. Waegel, April Kontostathis
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
13 years 8 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang