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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
15 years 11 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
RAID
2009
Springer
15 years 11 months ago
PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day (i.e. pr...
M. Zubair Shafiq, S. Momina Tabish, Fauzan Mirza, ...
HASE
2007
IEEE
15 years 11 months ago
Scalable, Adaptive, Time-Bounded Node Failure Detection
This paper presents a scalable, adaptive and timebounded general approach to assure reliable, real-time Node-Failure Detection (NFD) for large-scale, high load networks comprised ...
Matthew Gillen, Kurt Rohloff, Prakash Manghwani, R...
CN
2004
256views more  CN 2004»
15 years 4 months ago
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Intrusion detection is a surveillance problem of practical import that is well suited to wireless sensor networks. In this paper, we study the application of sensor networks to the...
Anish Arora, Prabal Dutta, Sandip Bapat, Vinod Kul...
ICMLA
2010
15 years 2 months ago
Semi-Supervised Anomaly Detection for EEG Waveforms Using Deep Belief Nets
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
Drausin Wulsin, Justin Blanco, Ram Mani, Brian Lit...