In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into associ...
Vincent T. Y. Ng, Stephen Chi-fai Chan, Derek Lau,...
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
Contemporary information systems are replete with log files, created in multiple places (e.g., network servers, database management systems, user monitoring applications, system se...
The Message Transformation Model (MTM), for modeling complex message transformation processes in data centric application scenarios, provides strong capabilities for describing the...
The semantics of a new language (CUDL – Conceptual Universal Database Language), designed to manage dynamic database environments, are presented. This language conforms to the FD...
Nikitas Karanikolas, Maria Nitsiou, Emmanuel J. Ya...
Abstract. Automatically choosing suitable native storage structures for XML documents arriving at the XML DBMS is a challenging task for its storage manager. While some of the crit...
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
ODRA (Object Database for Rapid Application development) is an object-oriented application development environment currently being constructed at the Polish-Japanese Institute of I...