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KDD
1998
ACM
95views Data Mining» more  KDD 1998»
13 years 12 months ago
Finding Frequent Substructures in Chemical Compounds
Luc Dehaspe, Hannu Toivonen, Ross D. King
WEA
2010
Springer
545views Algorithms» more  WEA 2010»
14 years 2 months ago
Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure
Abstract. The disjoint-set data structure is used to maintain a collection of non-overlapping sets of elements from a finite universe. Algorithms that operate on this data structu...
Md. Mostofa Ali Patwary, Jean R. S. Blair, Fredrik...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 8 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
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...
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 8 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee