The concept-oriented data model (COM) is an emerging approach to data modeling which is based on three novel principles: duality, inclusion and order. These three structural principles provide a basis for modeling domain-specific identities, object hierarchies and data semantics. In this paper these core principles of COM are presented from the point of view of object data models (ODM). We desc...

The analysis of multidimensional data is becoming a more and relevant topic in statistical machine learning research. Given their complexity, such objects are usually reshaped into matrices or vectors then analysed. However, this methodology presents several drawbacks. First all, it destroys the intrinsic interconnections among datapoints space and, secondly, number parameters to be estimated m...

A well-known definition of visualization is the mapping of initial data to a visual representation, which can be perceived and interpreted by humans. Human senses include not only vision, but also hearing, sense of touch, smell and others including their combinations. We discuss in this article multisensory scientific visualization, in other words scientific visualization extended with sound, h...

Within the scope of the project CARLOS (Cancer Registry Lower{Saxony), a software system | CARESS (CARLOS Epidemiological and Statistical Data Exploration System) | was developed to support modeling and conducting of descriptive epidemiologic studies. The fundamental idea was to implement a powerful core of a system for statistical analysis, which is easily extensible with regard to both data t...

With the emergence of Semi-structured data format (such as XML), the storage of documents in centralised facilities appeared as a natural adaptation of data warehousing technology. Nowadays, OLAP (On-Line Analytical Processing) systems face growing non-numeric data. This chapter presents a framework for the multidimensional analysis of textual data in an OLAP sense. Document structure, metadata...

Multidimensional analysis is performed in many scientific fields. Its main tasks involve the identification of correlations between data dimensions, the investigation of data clusters, and the identification of outliers. Visualization techniques often help in getting a better understanding. In this thesis, we present our work on improving visual multidimensional analysis by exploiting the seman...

Multidimensional data modeling plays a key role in the design of a data warehouse. We argue that the Entity Relationship Model is not suited for multidimensional conceptual modeling because the semantics of the main characteristics of the paradigm cannot be adequately represented. Consequently, we present a specialization of the E/R model called Multidimensional Entity Relationship (ME/R) Model...

The project CARLOS (Cancer Registry Lower-Saxony) aims at novel techniques for analysing cancer clusters using advanced database technology to support multidimensional analysis of spatio-temporal related health data. This requires very advanced support capabilities which can not be provided by existing technology. Therefore, new approaches in the fields of spatio-temporal, multidimensional and ...