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» Standardized Evaluation Method for Web Clustering Results
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GI
2004
Springer
15 years 11 months ago
Ontology based Recruitment Process
: In our research we explore the benefits resulting from the application of Semantic Web technologies in the recruitment domain. We use currently available standards and classifi...
Malgorzata Mochol, Radoslaw Oldakowski, Ralf Heese
HT
2005
ACM
15 years 12 months ago
As we may perceive: inferring logical documents from hypertext
In recent years, many algorithms for the Web have been developed that work with information units distinct from individual web pages. These include segments of web pages or aggreg...
Pavel Dmitriev, Carl Lagoze, Boris Suchkov
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
15 years 4 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 27 days ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
EDBT
2000
ACM
15 years 10 months ago
Navigation-Driven Evaluation of Virtual Mediated Views
The MIX mediator systems incorporates a novel framework for navigation-driven evaluation of virtual mediated views. Its architecture allows the on-demand computation of views and q...
Bertram Ludäscher, Yannis Papakonstantinou, P...