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SSDBM
2002
IEEE
122views Database» more  SSDBM 2002»
14 years 1 months ago
ATreeGrep: Approximate Searching in Unordered Trees
An unordered labeled tree is a tree in which each node has a string label and the parent-child relationship is significant, but the order among siblings is unimportant. This pape...
Dennis Shasha, Jason Tsong-Li Wang, Huiyuan Shan, ...
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
12 years 11 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli
ICDM
2007
IEEE
175views Data Mining» more  ICDM 2007»
14 years 3 months ago
gApprox: Mining Frequent Approximate Patterns from a Massive Network
Recently, there arise a large number of graphs with massive sizes and complex structures in many new applications, such as biological networks, social networks, and the Web, deman...
Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han
RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
14 years 2 months ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak
TIP
2011
123views more  TIP 2011»
13 years 3 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz