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» An Empirical Comparison of Four Text Mining Methods
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BMCBI
2006
137views more  BMCBI 2006»
14 years 11 months ago
Chaos game representation for comparison of whole genomes
Background: Chaos game representation of genome sequences has been used for visual representation of genome sequence patterns as well as alignment-free comparisons of sequences ba...
Jijoy Joseph, Roschen Sasikumar
VLDB
2010
ACM
144views Database» more  VLDB 2010»
14 years 10 months ago
Methods for finding frequent items in data streams
The frequent items problem is to process a stream of items and find all items occurring more than a given fraction of the time. It is one of the most heavily studied problems in d...
Graham Cormode, Marios Hadjieleftheriou
BMCBI
2010
154views more  BMCBI 2010»
14 years 11 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
BMCBI
2011
14 years 6 months ago
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment
Background: Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the ...
Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Sil...
ICDM
2002
IEEE
130views Data Mining» more  ICDM 2002»
15 years 4 months ago
Unsupervised Segmentation of Categorical Time Series into Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series into episodes. The VOTING-EXPERTS algorithm first collects statistics about the frequency an...
Paul R. Cohen, Brent Heeringa, Niall M. Adams