AbstractThis article applies range query theory to develop join algorithms that run inO(IlogdI+U) time, whereIandUare the sizes of the input and output anddis usually a small constant. One advantage of these algorithms is that they do not require the storage of an index, and they also use a working memory space guaranteed to be proportional to the size of the input. If the memory space is expanded toO(NPolylogN), our formalism also leads to the development of very fast indices supportingO(PolylogN) selection operations
In this paper we present a new framework for studying parallel query optimization. We first note tha...
Two new algorithms, "Jive-join" and "Slam-join," are proposed for computing the ...
Ranking is an important property that needs to be fully supported by current relational query engine...
AbstractThis article applies range query theory to develop join algorithms that run inO(IlogdI+U) ti...
We present a new class of adaptive algorithms that use compressed bitmap indexes to speed up evaluat...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Evaluating the relational join is one of the central algorithmic and most well-studied problems in d...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Relational index structures, as for instance the Relational Interval Tree, the Relational R-Tree, or...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Since relational database management systems typically support only diadic join operators as primiti...
We present a simple conceptual framework to think about computing the relational join. Using this fr...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
This talk will survey some results on join processing that use inequalities from convex geometry. Re...
In this paper we present a new framework for studying parallel query optimization. We first note tha...
Two new algorithms, "Jive-join" and "Slam-join," are proposed for computing the ...
Ranking is an important property that needs to be fully supported by current relational query engine...
AbstractThis article applies range query theory to develop join algorithms that run inO(IlogdI+U) ti...
We present a new class of adaptive algorithms that use compressed bitmap indexes to speed up evaluat...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Evaluating the relational join is one of the central algorithmic and most well-studied problems in d...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Relational index structures, as for instance the Relational Interval Tree, the Relational R-Tree, or...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Since relational database management systems typically support only diadic join operators as primiti...
We present a simple conceptual framework to think about computing the relational join. Using this fr...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
This talk will survey some results on join processing that use inequalities from convex geometry. Re...
In this paper we present a new framework for studying parallel query optimization. We first note tha...
Two new algorithms, "Jive-join" and "Slam-join," are proposed for computing the ...
Ranking is an important property that needs to be fully supported by current relational query engine...