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SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
14 years 7 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
INFOCOM
2009
IEEE
14 years 2 months ago
Opportunistic Processing and Query of Motion Trajectories in Wireless Sensor Networks
—We study the problem of in-network processing and queries of trajectories of moving targets in a sensor network. The main idea is to exploit the spatial coherence of target traj...
Dengpan Zhou, Jie Gao
IADIS
2004
13 years 9 months ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
14 years 7 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...
ICDT
2003
ACM
132views Database» more  ICDT 2003»
14 years 26 days ago
Probabilistic Interval XML
Interest in XML databases has been growing over the last few years. In this paper, we study the problem of incorporating probabilistic information into XML databases. We propose th...
Edward Hung, Lise Getoor, V. S. Subrahmanian