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» Approximate data mining in very large relational data
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TSD
2005
Springer
15 years 10 months ago
Why Is the Recognition of Spontaneous Speech so Hard?
Although speech, derived from reading texts, and similar types of speech, e.g. that from reading newspapers or that from news broadcast, can be recognized with high accuracy, recog...
Sadaoki Furui, Masanobu Nakamura, Tomohisa Ichiba,...
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
15 years 10 months ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 4 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
WEBDB
2005
Springer
100views Database» more  WEBDB 2005»
15 years 10 months ago
Malleable Schemas: A Preliminary Report
Large-scale information integration, and in particular, search on the World Wide Web, is pushing the limits on the combination of structured data and unstructured data. By its ver...
Xin Dong, Alon Y. Halevy