Research in spatio-temporal databases has largely focused on extensions of access methods for the proper handling of time changing spatial information. In this paper, we present th...
Theodoros Tzouramanis, Michael Vassilakopoulos, Ya...
In this paper we describe an approach to representation of data and knowledge using two technologies: XML and regular expressions in a domain of natural language syntactic analysis...
A number of algorithms of clustering spatial data for reducing the number of disk seeks required to process spatial queries have been developed. One of the algorithms is the scheme...
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
The integration of bibliographical data today is considered one of the most important tasks in the area of digital libraries. Various available sources of bibliographical informati...
Abstract. In this paper we provide a theoretical framework for estimating the size of the intersection join between two line segment datasets (e.g., roads, railways, utilities). Fo...
Conducting data mining on logs of web servers involves the determination of frequently occurring access sequences. We examine the problem of finding traversal patterns from web lo...
The majority of database benchmarks currently in use in the industry were designed for relational databases. A different class of benchmarks became required for object oriented dat...
Naphtali Rishe, Alexander Vaschillo, Dmitry Vasile...
Abstract. In this paper we describe a transaction management system designed to face the inherent characteristics of mobile environments. Mobile clients cache subsets of the databa...
Abstract. In this paper we consider the dictionary problem in the scalable distributed data structure paradigm introduced by Litwin, Neimat and Schneider and analyze costs for inse...