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» Indexing and mining topological patterns for drug discovery
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EDBT
2012
ACM
257views Database» more  EDBT 2012»
12 years 1 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 11 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
14 years 4 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
PKDD
2000
Springer
151views Data Mining» more  PKDD 2000»
14 years 2 months ago
Discovery of Characteristic subgraph Patterns Using Relative Indexing and the Cascade Model
: Relational representation of objects using graphs reveals much information that cannot be obtained by attribute value representations alone. There are already many databases that...
Takashi Okada, Mayumi Oyama
BMCBI
2008
208views more  BMCBI 2008»
13 years 11 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...