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» Multidimensional Data Modeling for Complex Data
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141
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PLDI
2012
ACM
13 years 3 months ago
Speculative linearizability
Linearizability is a key design methodology for reasoning about tations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusi...
Rachid Guerraoui, Viktor Kuncak, Giuliano Losa
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 1 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
100
Voted
SSD
2009
Springer
149views Database» more  SSD 2009»
15 years 7 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
134
Voted
DASFAA
2008
IEEE
188views Database» more  DASFAA 2008»
15 years 7 months ago
Summarization Graph Indexing: Beyond Frequent Structure-Based Approach
Graph is an important data structure to model complex structural data, such as chemical compounds, proteins, and XML documents. Among many graph data-based applications, sub-graph ...
Lei Zou, Lei Chen 0002, Huaming Zhang, Yansheng Lu...
122
Voted
ESCIENCE
2006
IEEE
15 years 6 months ago
Workflow-Driven Ontologies: An Earth Sciences Case Study
A goal of the Geosciences Network (GEON) is to develop cyber-infrastructure that will allow earth scientists to discover access, integrate and disseminate knowledge in distributed...
Leonardo Salayandia, Paulo Pinheiro da Silva, Ann ...