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» Density Level Detection is Classification
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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 5 days ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
INFOCOM
2009
IEEE
15 years 6 months ago
Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks
—Tracking of movements such as that of people, animals, vehicles, or of phenomena such as fire, can be achieved by deploying a wireless sensor network. So far only prototype sys...
Paul Balister, Zizhan Zheng, Santosh Kumar, Prasun...
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 5 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
CIKM
2008
Springer
15 years 1 months ago
A densitometric approach to web page segmentation
Web Page segmentation is a crucial step for many applications in Information Retrieval, such as text classification, de-duplication and full-text search. In this paper we describe...
Christian Kohlschütter, Wolfgang Nejdl
BMCBI
2005
107views more  BMCBI 2005»
14 years 11 months ago
A stepwise framework for the normalization of array CGH data
Background: In two-channel competitive genomic hybridization microarray experiments, the ratio of the two fluorescent signal intensities at each spot on the microarray is commonly...
Mehrnoush Khojasteh, Wan L. Lam, Rabab Kreidieh Wa...