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» Mining with Noise Knowledge: Error Aware Data Mining
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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
13 years 10 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 9 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
13 years 12 months ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li
VLDB
1998
ACM
312views Database» more  VLDB 1998»
13 years 9 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
SIGIR
2012
ACM
11 years 7 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka