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» Learning Classifiers from Semantically Heterogeneous Data
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EDBT
2011
ACM
225views Database» more  EDBT 2011»
12 years 11 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
CCS
2006
ACM
13 years 11 months ago
Privacy-preserving semantic interoperation and access control of heterogeneous databases
Today, many applications require users from one organization to access data belonging to organizations. While traditional solutions offered for the federated and mediated database...
Prasenjit Mitra, Chi-Chun Pan, Peng Liu, Vijayalak...
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
14 years 8 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
WECWIS
1999
IEEE
107views ECommerce» more  WECWIS 1999»
13 years 11 months ago
Semantic Metadata for the Integration of Web-Based Data for Electronic Commerce
Today, the Internet can be seen as a global marketplace populated by a huge number of providers and consumers that exchange data from a wide range of domains. A combination of dat...
Christof Bornhövd