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ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
16 years 1 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
CPM
2010
Springer
120views Combinatorics» more  CPM 2010»
16 years 2 days ago
Mod/Resc Parsimony Inference
Abstract. We address in this paper a new computational biology problem that aims at understanding a mechanism that could potentially be used to genetically manipulate natural insec...
Igor Nor, Danny Hermelin, Sylvain Charlat, Jan Eng...
ISMB
2001
15 years 8 months ago
Designing fast converging phylogenetic methods
Abstract: Absolute fast converging phylogenetic reconstruction methods are provably guaranteed to recover the true tree with high probability from sequences that grow only polynomi...
Luay Nakhleh, Usman Roshan, Katherine St. John, Je...
ISMB
1993
15 years 8 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
ISMB
1993
15 years 8 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter