Multidimensional Data Analysis Based on LOGIT Model

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Conceptual Multidimensional Data Model Based on MetaCube

In this paper, we propose a conceptual multidimensional data model that facilitates a precise rigorous conceptualization for OLAP. First, our approach has strong relation with mathematics by applying a new defined concept, i.e. H-set. Afterwards, the mathematic soundness provides a foundation to handle natural hierarchical relationships among data elements within dimensions with many levels of ...

MOA: A hybride multidimensional data model for interactive data exploration based on object-relational analysis units

Our approach to model and represent multidimensional data for explorative data analysis [16] is guided by our experience in the context of epidemiological cancer research. The project CARLOS (Cancer Registry Lower-Saxony) developed the Epidemiological and Statistical Data Exploration System (CARESS) to support multidimensional analysis of health data. The system is based on an architecture that...

Neighborhood Based Multidimensional Data Model for OLAP

Model-based multidimensional clustering of categorical data

Existing models for cluster analysis typically consist of a number of attributes that describe the objects to be partitioned and one single latent variable that represents the clusters to be identified. When one analyzes data using such a model, one is looking for one way to cluster data that is jointly defined by all the attributes. In other words, one performs unidimensional clustering. This ...