104 search results - page 2 / 21 » Query ranking in probabilistic XML data |
EDBTW
2010
Springer
13 years 11 months ago
2010
Springer
We investigate the complexity of performing updates on probabilistic XML data for various classes of probabilistic XML documents of different succinctness. We consider two elemen...
EDBT
2006
ACM
14 years 5 months ago
2006
ACM
Relevance Feedback is an important way to enhance retrieval quality by integrating relevance information provided by a user. In XML retrieval, feedback engines usually generate an ...
VLDB
2004
ACM
13 years 10 months ago
2004
ACM
We investigate the problem of ranking answers to a database query when many tuples are returned. We adapt and apply principles of probabilistic models from Information Retrieval f...
EDBT
2010
ACM
13 years 8 months ago
2010
ACM
Probabilistic top-k ranking queries have been extensively studied due to the fact that data obtained can be uncertain in many real applications. A probabilistic top-k ranking quer...
SIGMOD
2008
ACM
14 years 5 months ago
2008
ACM
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...