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» Data mining in the chemical industry
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PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
13 years 5 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
BMCBI
2008
208views more  BMCBI 2008»
13 years 7 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
GFKL
2006
Springer
108views Data Mining» more  GFKL 2006»
13 years 11 months ago
Identifying and Exploiting Ultrametricity
We begin with pervasive ultrametricity due to high dimensionality and/or spatial sparsity. How extent or degree of ultrametricity can be quantified leads us to the discussion of va...
Fionn Murtagh
BMCBI
2005
196views more  BMCBI 2005»
13 years 7 months ago
Chemistry in Bioinformatics
Chemical information is now seen as critical for most areas of life sciences. But unlike Bioinformatics, where data is Openly available and freely re-usable, most chemical informa...
Peter Murray-Rust, John B. O. Mitchell, Henry S. R...
AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
13 years 9 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang