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RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
15 years 5 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
AICCSA
2008
IEEE
276views Hardware» more  AICCSA 2008»
15 years 1 months ago
Effects of dimensionality reduction techniques on time series similarity measurements
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
Ghazi Al-Naymat, Javid Taheri
CIKM
2008
Springer
15 years 1 months ago
A note on search based forecasting of ad volume in contextual advertising
In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within...
Xuerui Wang, Andrei Z. Broder, Marcus Fontoura, Va...
LREC
2010
143views Education» more  LREC 2010»
15 years 1 months ago
Word Sense Annotation of Polysemous Words by Multiple Annotators
We describe results of a word sense annotation task using WordNet, involving half a dozen well-trained annotators on ten polysemous words for three parts of speech. One hundred se...
Rebecca J. Passonneau, Ansaf Salleb-Aouissi, Vikas...
CVPR
2011
IEEE
14 years 8 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...