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» Data Structure and Algorithm in Data Mining: Granular Comput...
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144
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 3 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
ACMSE
2009
ACM
15 years 9 months ago
A hybrid approach to mining frequent sequential patterns
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Erich Allen Peterson, Peiyi Tang
138
Voted
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 2 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
118
Voted
ICDM
2003
IEEE
160views Data Mining» more  ICDM 2003»
15 years 7 months ago
Indexing and Mining Free Trees
Tree structures are used extensively in domains such as computational biology, pattern recognition, computer networks, and so on. In this paper, we present an indexing technique f...
Yun Chi, Yirong Yang, Richard R. Muntz
163
Voted
BMCBI
2011
14 years 6 months ago
Computable visually observed phenotype ontological framework for plants
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...