Non-trivial retrieval applications involve complex computations on large multi-dimensional datasets. These should, in principle, benefit from the use of relational database technology. However, expressing such problems in terms of relational queries is difficult and timeconsuming. Even more discouraging is the efficiency issue: query optimization strategies successful in classical relational domains may not suffice when applied to the multi-dimensional array domain. The RAM (Relational Array Mapping) system hides these difficulties by providing a transparent mapping between the scientific problem specification and the underlying database system. In addition, its optimizer is specifically tuned to exploit the characteristics of the array par...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...
textabstractNon-trivial retrieval applications involve complex computations on large multi-dimension...
The development of applications involving multi-dimensional data sets on top of a RDBMS raises sever...
textabstractNon-trivial scientific applications often involve complex computations on large multi-di...
The Matrix Framework is a recent proposal by IR researchers to flexibly represent all important info...
Abstract The Matrix Framework is a recent proposal by Information Retrieval (IR) researchers to flex...
Abstract. Arrays are a common and important class of data. At present, database systems do not provi...
The scientic and analytical applications today are increasingly becoming data in-\ud tensive. Many s...
Query processing in databases can be divided into two steps: selecting an 'optimal' evaluation strat...
In the RasDaMan project a database system for management of multdimensional arrays is being built. I...
Multidimensional numeric arrays are often serialized to binary formats for efficient storage and pro...
The variety of memory devices in modern com- puter systems holds opportunities as well as challenges...
Data abstraction and query processing techniques are usually studied in the domain of administrative...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...
textabstractNon-trivial retrieval applications involve complex computations on large multi-dimension...
The development of applications involving multi-dimensional data sets on top of a RDBMS raises sever...
textabstractNon-trivial scientific applications often involve complex computations on large multi-di...
The Matrix Framework is a recent proposal by IR researchers to flexibly represent all important info...
Abstract The Matrix Framework is a recent proposal by Information Retrieval (IR) researchers to flex...
Abstract. Arrays are a common and important class of data. At present, database systems do not provi...
The scientic and analytical applications today are increasingly becoming data in-\ud tensive. Many s...
Query processing in databases can be divided into two steps: selecting an 'optimal' evaluation strat...
In the RasDaMan project a database system for management of multdimensional arrays is being built. I...
Multidimensional numeric arrays are often serialized to binary formats for efficient storage and pro...
The variety of memory devices in modern com- puter systems holds opportunities as well as challenges...
Data abstraction and query processing techniques are usually studied in the domain of administrative...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...
This paper presents a multidimensional schema, called the multidimensional range tree (MDR-tree), to...
Exploring and analyzing large volumes of data plays an increasingly important role in many domains o...