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EDBT
2009
ACM
120views Database» more  EDBT 2009»
14 years 4 months ago
Retrieving meaningful relaxed tightest fragments for XML keyword search
Adapting keyword search to XML data has been attractive recently, generalized as XML keyword search (XKS). One of its key tasks is to return the meaningful fragments as the result...
Lingbo Kong, Rémi Gilleron, Aurélien...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 4 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 4 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 4 months ago
BGP-lens: patterns and anomalies in internet routing updates
The Border Gateway Protocol (BGP) is one of the fundamental computer communication protocols. Monitoring and mining BGP update messages can directly reveal the health and stabilit...
B. Aditya Prakash, Nicholas Valler, David Andersen...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 4 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
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