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» Using Structural Relationships for Focused XML Retrieval
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WWW
2006
ACM
16 years 15 days ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
NIPS
1997
15 years 1 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
SBBD
2004
133views Database» more  SBBD 2004»
15 years 1 months ago
Query Processing in ROSA Data Model
Learning Content Management Systems (LCMS) store and manage e-learning content and play an important role in the development of Distance Learning technology. ROSA (Repository of O...
Fábio Coutinho, Fabio Porto
CIBCB
2008
IEEE
15 years 6 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
EDBTW
2010
Springer
15 years 3 months ago
Text-to-query: dynamically building structured analytics to illustrate textual content
Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It...
Raphaël Thollot, Falk Brauer, Wojciech M. Bar...