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» Privacy and Data Mining: New Developments and Challenges
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SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
14 years 11 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
INTERSPEECH
2010
14 years 4 months ago
Rapid development of speech translation using consecutive interpretation
The development of a speech translation (ST) system is costly, largely because it is expensive to collect parallel data. A new language pair is typically only considered in the af...
Matthias Paulik, Alex Waibel
ISI
2008
Springer
14 years 8 months ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang
CCS
2010
ACM
14 years 10 months ago
Sidebuster: automated detection and quantification of side-channel leaks in web application development
A web application is a "two-part" program, with its components deployed both in the browser and in the web server. The communication between these two components inevita...
Kehuan Zhang, Zhou Li, Rui Wang 0010, XiaoFeng Wan...
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 3 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu