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» Semistructured Data: The Tsimmis Experience
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KDD
2002
ACM
144views Data Mining» more  KDD 2002»
14 years 6 months ago
Efficiently mining frequent trees in a forest
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
Mohammed Javeed Zaki
IDEAS
2005
IEEE
142views Database» more  IDEAS 2005»
13 years 11 months ago
Automatically Maintaining Wrappers for Web Sources
A substantial subset of the web data follows some kind of underlying structure. Nevertheless, HTML does not contain any schema or semantic information about the data it represents...
Juan Raposo, Alberto Pan, Manuel Álvarez, J...
KCAP
2005
ACM
13 years 11 months ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton
TMC
2008
91views more  TMC 2008»
13 years 6 months ago
Dynamic Forwarding over Tree-on-DAG for Scalable Data Aggregation in Sensor Networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Moreo...
Kai-Wei Fan, Sha Liu, Prasun Sinha
SENSYS
2006
ACM
14 years 10 hour ago
Scalable data aggregation for dynamic events in sensor networks
Computing and maintaining network structures for efficient data aggregation incurs high overhead for dynamic events where the set of nodes sensing an event changes with time. Mor...
Kai-Wei Fan, Sha Liu, Prasun Sinha