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KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 4 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 4 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
POPL
2006
ACM
16 years 4 months ago
Autolocker: synchronization inference for atomic sections
The movement to multi-core processors increases the need for simpler, more robust parallel programming models. Atomic sections have been widely recognized for their ease of use. T...
Bill McCloskey, Feng Zhou, David Gay, Eric A. Brew...
MOBISYS
2006
ACM
16 years 3 months ago
LIGER: implementing efficient hybrid security mechanisms for heterogeneous sensor networks
The majority of security schemes available for sensor networks assume deployment in areas without access to a wired infrastructure. More specifically, nodes in these networks are ...
Patrick Traynor, Raju Kumar, Hussain Bin Saad, Guo...