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ICDM
2010
IEEE
119views Data Mining» more  ICDM 2010»
15 years 6 days ago
Visually Controllable Data Mining Methods
A large number of data mining methods are, as such, not applicable to fast, intuitive, and interactive use. Thus, there is a need for visually controllable data mining methods. Suc...
Kai Puolamäki, Panagiotis Papapetrou, Jefrey ...
SIGOPS
2010
162views more  SIGOPS 2010»
15 years 19 days ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
133
Voted
PAMI
2008
197views more  PAMI 2008»
15 years 2 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
JODS
2007
102views Data Mining» more  JODS 2007»
15 years 2 months ago
Default Clustering with Conceptual Structures
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
Julien Velcin, Jean-Gabriel Ganascia
124
Voted
SEMWEB
2010
Springer
15 years 3 days ago
Linking and Building Ontologies of Linked Data
The Web of Linked Data is characterized by linking structured data from different sources using equivalence statements, such as owl:sameAs, as well as other types of linked propert...
Rahul Parundekar, Craig A. Knoblock, José L...