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» Clustering performance data efficiently at massive scales
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OTM
2010
Springer
15 years 4 months ago
On the Expressiveness and Trade-Offs of Large Scale Tuple Stores
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
Ricardo Vilaça, Francisco Cruz, Rui Carlos ...
PERCOM
2008
ACM
16 years 5 months ago
Budget-Based Clustering with Context-awareness for Sensor Networks
As the scale of modern sensor networks continues to grow, energy consumption, scalability and routing efficiency are becoming key design challenges. Network management plays an im...
Jiaxi You, Dominik Lieckfeldt, Matthias Handy, Dir...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 11 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
CIDM
2007
IEEE
16 years 12 days ago
Scalable Clustering for Large High-Dimensional Data Based on Data Summarization
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
Ying Lai, Ratko Orlandic, Wai Gen Yee, Sachin Kulk...
ATAL
2010
Springer
15 years 7 months ago
Exploiting scale invariant dynamics for efficient information propagation in large teams
Large heterogeneous teams will often be in situations where sensor data that is uncertain and conflicting is shared across a peer-to-peer network. Not every team member will have ...
Robin Glinton, Paul Scerri, Katia P. Sycara