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» Using Structural Relationships for Focused XML Retrieval
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145
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WWW
2006
ACM
16 years 4 months 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...
126
Voted
NIPS
1997
15 years 4 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
149
Voted
SBBD
2004
133views Database» more  SBBD 2004»
15 years 4 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
132
Voted
CIBCB
2008
IEEE
15 years 10 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
150
Voted
EDBTW
2010
Springer
15 years 6 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...