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» Using Anonymized Data for Classification
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115
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SIGCOMM
2009
ACM
15 years 9 months ago
De-anonymizing the internet using unreliable IDs
Today’s Internet is open and anonymous. While it permits free traffic from any host, attackers that generate malicious traffic cannot typically be held accountable. In this pa...
Yinglian Xie, Fang Yu, Martín Abadi
131
Voted
ICITA
2005
IEEE
15 years 8 months ago
A Multimedia Traffic Classification Scheme for Intrusion Detection Systems
Intrusion Detection Systems (IDS) have become widely used tools for ensuring system and network security. Among many other challenges, contemporary IDS have to cope with increasin...
Oge Marques, Pierre Baillargeon
143
Voted
ICDM
2009
IEEE
162views Data Mining» more  ICDM 2009»
15 years 11 days ago
Towards a Universal Text Classifier: Transfer Learning Using Encyclopedic Knowledge
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
Pu Wang, Carlotta Domeniconi
156
Voted
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 3 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
187
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BIB
2011
14 years 6 months ago
Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data
Developments in whole genome biotechnology have stimulated statistical focus on prediction methods. We review here methodology for classifying patients into survival risk groups a...
Richard M. Simon, Jyothi Subramanian, Ming-Chung L...