Normalization is an important database design method, in the course of the teaching of data modeling the understanding and applying of this method cause problems for students the most. For improving the efficiency of learning normalization we looked for alternative normalization methods and introduced them into education. We made a survey among engineer students how efficient could they execute...

The plethora of existing data models and specific data modeling techniques is not only confusing but leads to complex, eclectic and inefficient designs of systems for data management and analytics. The main goal of this paper is to describe a unified approach to data modeling, called the concept-oriented model (COM), by using functions as a basis for its formalization. COM tries to answer the q...

We explain the proliferation of panel data studies in terms of (i) data availability, (ii) the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.

Formally, given a set of n homogenous or heterogeneous mobile sensors {s1, s2, ..., sn} that are capable to acquire m physical attributes {a1, a2, ..., am} from their environment at every discrete time instance t (i.e., data has a temporal dimension), an implicit or explicit mechanism that enables each si (i ≤ n) to move in some multi-dimensional Euclidean space (i.e., data has one or more spat...

The recent availability of geospatial information as linked open data has generated new interest in geospatial query processing and reasoning, a topic with a long tradition of research in the areas of databases and artificial intelligence. In this paper we survey recent advances in this important research topic, concentrating on issues of data modeling and querying.

The information model was conceived to address the complexities of managing large volumes of data, processes, designs, and tools that are shared by many business users with differing requirements. Because an information model derives much of its features from data models, the distinction between information modeling and data modeling is sometimes unclear. One perspective is that information mod...

Object-oriented databases have brought major improvements in data modeling by introducing notions such as inheritance or methods. Extensions in many directions are now considered with introductions of many concepts such as versions, views or roles. These features bring the risk of creating monster data models with a number of incompatible appendixes. We do not propose here any new extension or ...

This paper evaluates the performance of ten significance measures applied to the problem of determining an appropriate network structure, for data modelling with neurofuzzy systems. The advantages of Neurofuzzy systems are demonstrated with application to both real and synthetic data interpretation problems.

Jurisdictions that are contemplating the development of 3D Cadastres cannot afford to ignore the marine environment. Apart from its extreme importance as a resource, the use of the marine environment is volumetric by nature and involves the exercising of rights to the surface, water column, seabed, and subsoil. This paper proposes a 3D marine cadastre model that can be used to support effective...