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KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 2 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
ICDM
2008
IEEE
235views Data Mining» more  ICDM 2008»
14 years 2 months ago
DECK: Detecting Events from Web Click-Through Data
In the past few years there has been increased research interest in detecting previously unidentified events from Web resources. Our focus in this paper is to detect events from ...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
IV
2008
IEEE
296views Visualization» more  IV 2008»
14 years 2 months ago
Revealing Subnetwork Roles using Contextual Visualization: Comparison of Metabolic Networks
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Romain Bourqui, Fabien Jourdan
CAISE
2007
Springer
14 years 2 months ago
Declarative XML Data Cleaning with XClean
Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a cruc...
Melanie Weis, Ioana Manolescu
ESWS
2005
Springer
14 years 1 months ago
RELFIN - Topic Discovery for Ontology Enhancement and Annotation
While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the docu...
Markus Schaal, Roland M. Müller, Marko Brunze...