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» Insights from Network Structure for Text Mining
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ECAI
2010
Springer
13 years 4 months ago
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Many document collections are by nature dynamic, evolving as the topics or events they describe change. The goal of temporal text mining is to discover bursty patterns and to ident...
Ilija Subasic, Bettina Berendt
DAGSTUHL
2006
13 years 8 months ago
Information Access to Historical Documents from the Early New High German Period
With the new interest in historical documents insight grew that electronic access to these texts causes many specific problems. In the first part of the paper we survey the presen...
Andreas Hauser, Markus Heller, Elisabeth Leiss, Kl...
DMKD
2000
ACM
110views Data Mining» more  DMKD 2000»
13 years 11 months ago
Combining Strategies for Extracting Relations from Text Collections
Text documents often contain valuable structured data that is hidden in regular English sentences. This data is best exploited if available as a relational table that we could use...
Eugene Agichtein, Eleazar Eskin, Luis Gravano
ESWS
2008
Springer
13 years 8 months ago
Wikipedia Link Structure and Text Mining for Semantic Relation Extraction
Abstract. Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers huge number of concepts of various fields such as Arts, G...
Kotaro Nakayama, Takahiro Hara, Shojiro Nishio
ICDM
2003
IEEE
119views Data Mining» more  ICDM 2003»
13 years 11 months ago
A Dynamic Adaptive Self-Organising Hybrid Model for Text Clustering
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
Chihli Hung, Stefan Wermter