A major area of concern with very large databases is that of query and access time. This area has played a major role in the design and development of current large database systems. Due to the volume of data stored in these systems, retrieval of data can turn out to be very time consuming. While fast response times are not vital to all database systems, those systems involved in real-time applications require immediate results. This study will focus upon the development of a system for anticipating queries in large scientific databases. The methodology developed in this study offers a system that will not only respond to a given query, but also to potential queries. Based upon a given user query and the database schema, a pattern of likely...
In this chapter, we explore ways to answer queries on large multi-dimensional data efficiently. Giv...
In this paper, we describe a database query system that provides visual relevance feedback in queryi...
This is a pre-print of a paper from Human Language Technologies: Proceedings of the 11th Annual Conf...
This paper investigates two approaches to improving query times on large relational databases. The f...
Database management systems will continue to manage large data volumes. Thus, efficient algorithms f...
There is a clear need nowadays for extremely large data processing. This is especially true in the ...
The proliferation of big data has reshaped the landscape of data management, necessitating innovativ...
In the era of big data, efficient query processing is paramount for organizations seeking valuable i...
There is a clear need for interactive exploration of extremely large databases, especially in the ar...
A study has been carried out to determine the feasibility of using commercial database management sy...
Objectivity federated databases may contain many terabytes of data and span thousands of files. In s...
Companies, government agencies, and other types of organizations are making their large databases av...
In the era of big data, organizations are inundated with vast volumes of data from diverse sources. ...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
Complexity, and Handling of huge data is a crucial target for all management systems. Databases are ...
In this chapter, we explore ways to answer queries on large multi-dimensional data efficiently. Giv...
In this paper, we describe a database query system that provides visual relevance feedback in queryi...
This is a pre-print of a paper from Human Language Technologies: Proceedings of the 11th Annual Conf...
This paper investigates two approaches to improving query times on large relational databases. The f...
Database management systems will continue to manage large data volumes. Thus, efficient algorithms f...
There is a clear need nowadays for extremely large data processing. This is especially true in the ...
The proliferation of big data has reshaped the landscape of data management, necessitating innovativ...
In the era of big data, efficient query processing is paramount for organizations seeking valuable i...
There is a clear need for interactive exploration of extremely large databases, especially in the ar...
A study has been carried out to determine the feasibility of using commercial database management sy...
Objectivity federated databases may contain many terabytes of data and span thousands of files. In s...
Companies, government agencies, and other types of organizations are making their large databases av...
In the era of big data, organizations are inundated with vast volumes of data from diverse sources. ...
Timely and cost-effective analytics over "big data" has emerged as a key ingredient for success in m...
Complexity, and Handling of huge data is a crucial target for all management systems. Databases are ...
In this chapter, we explore ways to answer queries on large multi-dimensional data efficiently. Giv...
In this paper, we describe a database query system that provides visual relevance feedback in queryi...
This is a pre-print of a paper from Human Language Technologies: Proceedings of the 11th Annual Conf...