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» Phenomenal Data Mining: From Data to Phenomena
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BMCBI
2005
120views more  BMCBI 2005»
15 years 6 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
COLING
2000
15 years 8 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
DCOSS
2007
Springer
16 years 26 days ago
Separating the Wheat from the Chaff: Practical Anomaly Detection Schemes in Ecological Applications of Distributed Sensor Networ
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...
Luís M. A. Bettencourt, Aric A. Hagberg, Le...
DAWAK
2009
Springer
15 years 10 months ago
Visual Modelling of Data Warehousing Flows with UML Profiles
Data warehousing involves complex processes that transform source data through several stages to deliver suitable information ready to be analysed. Though many techniques for visua...
Jesús Pardillo, Matteo Golfarelli, Stefano ...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
15 years 12 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du