Add to ORKGAdvanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a proper support of multiple Top-k queries in order to perform projected clustering. Although some research tackles to problem of optimizing restricted ranking (top-k) queries, there is no solution considering more than one single ranking criterion. This deficit- optimizing multiple Topk queries over joins- is targeted by this paper from two perspectives. On the one hand, we propose a minimal but quite handy extension of SQL to express multiple top-k queries. On the other hand, we propose an optimized hash join strategy to efficiently execute this type of queries. Exte...
The join operation, which combines tuples from multiple relations, is the most fundamental and, typi...
Big data analytics often requires processing complex queries us-ing massive parallelism, where the m...
Using SQL has not been considered an ecient and feasible way to implement data mining algorithms. Al...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Consider two collections of objects R and S, where each object is assigned a score (e.g., a rating)....
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
An important issue arising from large scale data integration is how to efficiently select the top-K ...
The use of business intelligence tools and other means to generate queries has led to great variety ...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Traditional top-k algorithms, e.g., TA and NRA, have been successfully applied in many areas such as...
Thesis (Ph.D.)--University of Washington, 2021As the demand for data intensive pipelines has grown a...
This paper introduces RankSQL, a system that provides a systematic and principled framework to suppo...
Due to increasing capacity of storage devices and speed of computer networks during last years, it i...
Observed in many real applications, a top-k query often consists of two components to reflect a user...
As more and more data from distributed data sources becomes accessible, supporting queries over peer...
The join operation, which combines tuples from multiple relations, is the most fundamental and, typi...
Big data analytics often requires processing complex queries us-ing massive parallelism, where the m...
Using SQL has not been considered an ecient and feasible way to implement data mining algorithms. Al...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Consider two collections of objects R and S, where each object is assigned a score (e.g., a rating)....
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
An important issue arising from large scale data integration is how to efficiently select the top-K ...
The use of business intelligence tools and other means to generate queries has led to great variety ...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Traditional top-k algorithms, e.g., TA and NRA, have been successfully applied in many areas such as...
Thesis (Ph.D.)--University of Washington, 2021As the demand for data intensive pipelines has grown a...
This paper introduces RankSQL, a system that provides a systematic and principled framework to suppo...
Due to increasing capacity of storage devices and speed of computer networks during last years, it i...
Observed in many real applications, a top-k query often consists of two components to reflect a user...
As more and more data from distributed data sources becomes accessible, supporting queries over peer...
The join operation, which combines tuples from multiple relations, is the most fundamental and, typi...
Big data analytics often requires processing complex queries us-ing massive parallelism, where the m...
Using SQL has not been considered an ecient and feasible way to implement data mining algorithms. Al...