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ALT
2008
Springer
14 years 5 months ago
Exploiting Cluster-Structure to Predict the Labeling of a Graph
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...
Mark Herbster
DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 10 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
BIOCOMP
2008
13 years 10 months ago
Prediction of Protein Function Using Graph Container and Message Passing
We introduce a novel parameter called container flux, which is used to measure the information sharing capacity between two distinct nodes in a graph. Other useful information, bot...
Hongbo Zhou, Qiang Shawn Cheng, Mehdi Zargham
COMCOM
2006
88views more  COMCOM 2006»
13 years 9 months ago
Using attack graphs for correlating, hypothesizing, and predicting intrusion alerts
To defend against multi-step intrusions in high-speed networks, efficient algorithms are needed to correlate isolated alerts into attack scenarios. Existing correlation methods us...
Lingyu Wang, Anyi Liu, Sushil Jajodia
ICSE
2008
IEEE-ACM
14 years 9 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience bac...
Thomas Zimmermann, Nachiappan Nagappan