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ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 1 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...
PKDD
2005
Springer
153views Data Mining» more  PKDD 2005»
15 years 8 months ago
A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston
Abstract. Several new miners for frequent subgraphs have been published recently. Whereas new approaches are presented in detail, the quantitative evaluations are often of limited ...
Marc Wörlein, Thorsten Meinl, Ingrid Fischer,...
SIGMOD
2004
ACM
100views Database» more  SIGMOD 2004»
16 years 3 months ago
Cost-Based Labeling of Groups of Mass Spectra
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Lei Chen 0003, Zheng Huang, Raghu Ramakrishnan
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
15 years 10 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
NIPS
2007
15 years 4 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet