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» Large Scale Data Mining: Challenges and Responses
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KDD
2007
ACM
156views Data Mining» more  KDD 2007»
16 years 6 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
SAC
2008
ACM
15 years 5 months ago
Large-scale simulation of V2V environments
Providing vehicles with enhanced ability to communicate and exchange real-time data with neighboring vehicles opens up a variety of complex challenges that can only be met by comb...
Hugo Conceição, Luís Damas, M...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 3 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
16 years 2 days ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
15 years 11 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...