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KDD
2009
ACM
217views Data Mining» more  KDD 2009»
16 years 7 months ago
Efficient anomaly monitoring over moving object trajectory streams
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei L...
MOBIHOC
2009
ACM
16 years 7 months ago
Efficient resource management in OFDMA Femto cells
Femto cells are a cost-effective means of providing ubiquitous connectivity in future broadband wireless networks. While their primary purpose has been to improve coverage in curr...
Karthikeyan Sundaresan, Sampath Rangarajan
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 7 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
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