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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 7 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 7 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
SIGMOD
2007
ACM
198views Database» more  SIGMOD 2007»
16 years 6 months ago
Addressing diverse user preferences in SQL-query-result navigation
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Zhiyuan Chen, Tao Li
176
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PERCOM
2007
ACM
16 years 6 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
PERCOM
2006
ACM
16 years 6 months ago
Localized Sensor Area Coverage with Low Communication Overhead
We propose several localized sensor area coverage protocols, for arbitrary ratio of sensing and transmission radii. Sensors are assumed to be time synchronized, and active sensors...
Antoine Gallais, Jean Carle, David Simplot-Ryl, Iv...