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» Discovering Classification from Data of Multiple Sources
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ER
2010
Springer
164views Database» more  ER 2010»
14 years 11 months ago
Querying Databases with Taxonomies
Traditional information search in which queries are posed against a known and rigid schema over a structured database is shifting towards a Web scenario in which exposed schemas ar...
Davide Martinenghi, Riccardo Torlone
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 11 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
FTDCS
2003
IEEE
15 years 7 months ago
Resource- and Quality-Aware Application-Level Service Multicast
—Current multimedia application deployment tends to rely on composable service systems, where a complex multimedia service can be composed dynamically from multiple simpler ones ...
Jingwen Jin, Klara Nahrstedt
HUC
2010
Springer
15 years 2 months ago
Psycho-physiological measures for assessing cognitive load
With a focus on presenting information at the right time, the ubicomp community can benefit greatly from learning the most salient human measures of cognitive load. Cognitive load...
Eija Haapalainen, Seungjun Kim, Jodi Forlizzi, Ani...
FIMI
2003
170views Data Mining» more  FIMI 2003»
15 years 3 months ago
kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...
Salvatore Orlando, Claudio Lucchese, Paolo Palmeri...