Add to ORKGAn important issue arising from large scale data integration is how to efficiently select the top-K ranking answers from multiple sources while minimizing the transmission cost. This paper resolves this issue by proposing an efficient pruning-based approach to answer top-K join queries. The total amount of transmitted data can be greatly reduced by pruning tuples that can not produce the desired join results with a rank value greater than or equal to the rank value generated so far
Rank-aware query processing has emerged as a key requirement in modern applications. In these applic...
In many applications, the underlying data (the web, an XML document, or a relational database) can b...
Top-k query processing is a fundamental building block for efficient ranking in a large number of ap...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Advanced Data Mining applications require more and more support from relational database engines. Es...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
Consider two collections of objects R and S, where each object is assigned a score (e.g., a rating)....
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
In this paper we present the Threshold Join Algorithm (TJA), which is an e#cient TOP-k query proces...
As more and more data from distributed data sources becomes accessible, supporting queries over peer...
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
The problem of obtaining efficient answers to top-k queries has attracted a lot of research attentio...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Abstract: A reverse k-nearest neighbour (RkNN) query determines the objects from a database that hav...
Rank-aware query processing has emerged as a key requirement in modern applications. In these applic...
In many applications, the underlying data (the web, an XML document, or a relational database) can b...
Top-k query processing is a fundamental building block for efficient ranking in a large number of ap...
Abstract—Information systems apply various techniques to rank query answers. Ranking queries (or top...
Advanced Data Mining applications require more and more support from relational database engines. Es...
the large scale is to select Topic with a view to ranking from multiple sources so that transfer cos...
Consider two collections of objects R and S, where each object is assigned a score (e.g., a rating)....
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
In this paper we present the Threshold Join Algorithm (TJA), which is an e#cient TOP-k query proces...
As more and more data from distributed data sources becomes accessible, supporting queries over peer...
A top-k query combines different rankings of the same set of objects and returns the k objects with ...
The problem of obtaining efficient answers to top-k queries has attracted a lot of research attentio...
This dissertation focuses on supporting ranking in relational database systems through a rank-aware ...
Abstract: A reverse k-nearest neighbour (RkNN) query determines the objects from a database that hav...
Rank-aware query processing has emerged as a key requirement in modern applications. In these applic...
In many applications, the underlying data (the web, an XML document, or a relational database) can b...
Top-k query processing is a fundamental building block for efficient ranking in a large number of ap...