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PODS
2005
ACM
151views Database» more  PODS 2005»
16 years 6 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
EDBT
2009
ACM
302views Database» more  EDBT 2009»
16 years 1 months ago
RankClus: integrating clustering with ranking for heterogeneous information network analysis
As information networks become ubiquitous, extracting knowledge from information networks has become an important task. Both ranking and clustering can provide overall views on in...
Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin,...
EDBT
2009
ACM
138views Database» more  EDBT 2009»
16 years 1 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
ESORICS
2009
Springer
16 years 1 months ago
Privacy Preserving Publication of Moving Object Data
The increasing availability of space-time trajectories left by location-aware devices is expected to enable novel classes of applications where the discovery of consumable, concise...
Francesco Bonchi
CLUSTER
2006
IEEE
16 years 17 days ago
MSSG: A Framework for Massive-Scale Semantic Graphs
This paper presents a middleware framework for storing, accessing and analyzing massive-scale semantic graphs. The framework, MSSG, targets scale-free semantic graphs with O(1012 ...
Timothy D. R. Hartley, Ümit V. Çataly&...
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