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VLDB
2005
ACM
177views Database» more  VLDB 2005»
14 years 11 months ago
Indexing mobile objects using dual transformations
With the recent advances in wireless networks, embedded systems and GPS technology, databases that manage the location of moving objects have received increased interest. In this ...
George Kollios, Dimitris Papadopoulos, Dimitrios G...
SIGMOD
2008
ACM
125views Database» more  SIGMOD 2008»
14 years 11 months ago
Categorical skylines for streaming data
The problem of skyline computation has attracted considerable research attention. In the categorical domain the problem becomes more complicated, primarily due to the partially-or...
Nikos Sarkas, Gautam Das, Nick Koudas, Anthony K. ...
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
14 years 11 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
DASFAA
2009
IEEE
133views Database» more  DASFAA 2009»
14 years 5 months ago
Probabilistic Ranking in Uncertain Vector Spaces
Abstract. In many application domains, e.g. sensor databases, traffic management or recognition systems, objects have to be compared based on positionally and existentially uncert...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
14 years 5 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...