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» Efficient Aggregate Computation over Data Streams
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INFOVIS
2005
IEEE
15 years 6 months ago
Multivariate Glyphs for Multi-Object Clusters
Aggregating items can simplify the display of huge quantities of data values at the cost of losing information about the attribute values of the individual items. We propose a dis...
Eleanor Boyle Chlan, Penny Rheingans
98
Voted
CVPR
2010
IEEE
15 years 5 months ago
Efficient Hierarchical Graph-Based Video Segmentation
We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by oversegmenting a vol...
Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan E...
117
Voted
SIGKDD
2008
125views more  SIGKDD 2008»
15 years 20 days ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
100
Voted
VLDB
2004
ACM
101views Database» more  VLDB 2004»
15 years 6 months ago
HiFi: A Unified Architecture for High Fan-in Systems
Advances in data acquisition and sensor technologies are leading towards the development of “High Fan-in” architectures: widely distributed systems whose edges consist of nume...
Owen Cooper, Anil Edakkunni, Michael J. Franklin, ...
127
Voted
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 1 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan