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» Knowledge discovery from sensor data (SensorKDD)
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TKDE
2012
192views Formal Methods» more  TKDE 2012»
12 years 12 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
TFS
2011
242views Education» more  TFS 2011»
14 years 4 months ago
Linguistic Summarization Using IF-THEN Rules and Interval Type-2 Fuzzy Sets
—Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries li...
Dongrui Wu, Jerry M. Mendel
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 11 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
BMCBI
2010
123views more  BMCBI 2010»
14 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
IJISTA
2008
108views more  IJISTA 2008»
14 years 9 months ago
On-the-fly scene acquisition with a handy multi-sensor system
: We present a scene acquisition system which allows for fast and simple acquisition of arbitrarily large 3D environments. We propose a small device which acquires and processes fr...
Benjamin Huhle, Philipp Jenke, Wolfgang Straß...