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SEMWEB
2012
Springer
13 years 9 months ago
How to deal with massively heterogeneous cultural heritage data - lessons learned in CultureSampo
Abstract. This paper presents the CultureSampo system from the viewpoint of publishing heterogeneous linked data as a service. Discussed are the problems of converting legacy data ...
Eetu Mäkelä, Eero Hyvönen, Tuukka R...
FLAIRS
2008
15 years 3 months ago
Selecting Minority Examples from Misclassified Data for Over-Sampling
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
Jorge de la Calleja, Olac Fuentes, Jesús Go...
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 1 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 3 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
SEKE
2005
Springer
15 years 7 months ago
From Data to Knowledge: an Integrated Rule-Based Data Mining System
This paper presents an integrated rule-based data mining system that is capable of creating rulebased classifiers with web-based user interface from data sets provided by end user...
Chien-Chung Chan, Zhicheng Su