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» Sentiment Mining Using Ensemble Classification Models
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
13 years 11 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
ICANN
2009
Springer
13 years 6 months ago
Mental Tasks Classification for a Noninvasive BCI Application
Mapping brain activity patterns in external actions has been studied in recent decades and is the base of a brain-computer interface. This type of interface is extremely useful for...
Alexandre Ormiga G. Barbosa, David Ronald A. Diaz,...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
13 years 6 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 9 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...