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» Troubleshooting Distributed Systems via Data Mining
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KDD
2009
ACM
379views Data Mining» more  KDD 2009»
14 years 2 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 3 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
13 years 23 days ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
ACSAC
2007
IEEE
14 years 4 months ago
Establishing and Sustaining System Integrity via Root of Trust Installation
Integrity measurements provide a means by which distributed systems can assess the trustability of potentially compromised remote hosts. However, current measurement techniques si...
Luke St. Clair, Joshua Schiffman, Trent Jaeger, Pa...
RECSYS
2010
ACM
13 years 10 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street