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SDM
2004
SIAM
229views Data Mining» more  SDM 2004»
15 years 7 months ago
R-MAT: A Recursive Model for Graph Mining
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
Deepayan Chakrabarti, Yiping Zhan, Christos Falout...
TWC
2010
15 years 1 months ago
A Novel Graph-Based Suboptimal Multiuser Detector for FDM-CPM Transmissions
We consider a frequency division multiplexed (FDM) system where each user employs a continuous phase modulation (CPM), serially concatenated with an outer code through an interleav...
Amina Piemontese, Giulio Colavolpe
ANCS
2006
ACM
16 years 14 days ago
WormTerminator: an effective containment of unknown and polymorphic fast spreading worms
The fast spreading worm is becoming one of the most serious threats to today’s networked information systems. A fast spreading worm could infect hundreds of thousands of hosts w...
Songqing Chen, Xinyuan Wang, Lei Liu, Xinwen Zhang
IMC
2006
ACM
16 years 13 days ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...
ICMLA
2004
15 years 7 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague