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» Modeling Relational Data by the Adjacency Model
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SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
14 years 9 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
14 years 6 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
PLDI
2009
ACM
14 years 3 months ago
A weakest precondition approach to active attacks analysis
Information flow controls can be used to protect both data confidentiality and data integrity. The certification of the security degree of a program that runs in untrusted envi...
Musard Balliu, Isabella Mastroeni
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 3 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 3 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