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
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...
Relational joins are at the core of relational algebra, which in turn is the core of the standard da...
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...
Evaluating the relational join is one of the central algorithmic and most well-studied problems in d...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
A method to optimize the access at the objects of a relational database is through the optimization ...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
Multiprocessor implementation of the relational database operators has recently received great atten...
Data mining is an important real-life application for businesses. It is critical to find efficient w...
Two new algorithms, "Jive-join'" and "Slam-join," are proposed for computing the join of two relatio...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Describe set-oriented algorithms for mining association rules. Such algorithms imply performing mult...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
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...
Relational joins are at the core of relational algebra, which in turn is the core of the standard da...
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...
Evaluating the relational join is one of the central algorithmic and most well-studied problems in d...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
A method to optimize the access at the objects of a relational database is through the optimization ...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
Multiprocessor implementation of the relational database operators has recently received great atten...
Data mining is an important real-life application for businesses. It is critical to find efficient w...
Two new algorithms, "Jive-join'" and "Slam-join," are proposed for computing the join of two relatio...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Describe set-oriented algorithms for mining association rules. Such algorithms imply performing mult...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
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...
Relational joins are at the core of relational algebra, which in turn is the core of the standard da...