Library management frequently faces the need of making the value of the acquired materials
significant as far as the most beneficial use of the allocated acquisition budget is concerned …

Inductive databases integrate database querying with database mining. In this article, we
present an inductive database system that does not rely on a new data mining query …

Group comparison per se is a fundamental task in many scientific endeavours but is also the
basis of any classifier. Contrast sets and emerging patterns contrast between groups of …

In this paper we propose the combined use of different methods to improve the data analysis
process. This is obtained by combining inductive and deductive techniques. We also use …

In the first part of this chapter we will introduce a general temporally enhanced conceptual
data model able to represent time varying data in the spirit of a temporally enhanced entity …

Since the quality of a library is not in the number of materials that are available, but in the
number of materials that are actually utilized, this is what a material acquisitions operation …

The discovery of frequently occurring patterns in a time series could be important in several
application contexts. As an example, the analysis of frequent patterns in biomedical …

In the process of rule generation from databases, the volume of generated rules often greatly
exceeds the size of the underlying database. Typically only a small fraction of that large …

With the expansion and future potential in the field of healthcare industry, it is necessary to
analyze a large amount of noisy data to obtain meaningful knowledge. Data mining …

In inductive databases, there is no conceptual difference between data and the models
describing the data: both can be stored and queried using some query language. The …