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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
16 years 6 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 6 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
SAC
2010
ACM
16 years 1 months ago
Web-based graphical querying of databases through an ontology: the Wonder system
Biological scientists have made large amounts of data available on the Web, which can be accessed by canned or precomputed queries presented via web forms. To satisfy further info...
Diego Calvanese, C. Maria Keet, Werner Nutt, Maria...
WABI
2009
Springer
127views Bioinformatics» more  WABI 2009»
16 years 23 days ago
Constructing Majority-Rule Supertrees
Background: Supertree methods combine the phylogenetic information from multiple partially-overlapping trees into a larger phylogenetic tree called a supertree. Several supertree ...
Jianrong Dong, David Fernández-Baca, Fred R...
WABI
2009
Springer
142views Bioinformatics» more  WABI 2009»
16 years 23 days ago
Back-Translation for Discovering Distant Protein Homologies
Background: Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from ...
Marta Gîrdea, Laurent Noé, Gregory Ku...