This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

It is commonly acknowledged that we need to accept and handle uncertainty when reasoning with real world data. The most profoundly studied measure of uncertainty is the probability. However, the general feeling is that probability cannot express all types of…

Defeasible Logic Programming (DeLP) is an extension of Logic Programming capturing common-sense reasoning features. The DeLP language can manage defeasible reasoning, allowing the representation of defeasible and non- defeasible knowledge. Since DeLP syntax is based on a PROLOG-like notation, the…

Negative information can be represented in several classes of logic programs. These approaches were first motivated by the search for an appropriate declarative semantics for negation as failure. Recently, some formalizations of monotonic negation were also introduced in logic programming…

Genomic and darwinian medicine deal with the application of hereditary and evolutionary principles for the understanding of health and disease. The progress in molecular and bioinformatic knowledge is making possible through a holistic
approach to biological phenomena and one aspect…

We study the Jupiter family comet (JFC) population assumed to come from the Scattered Disk and transferred to the Jupiter’s zone through gravitational interactions with the Jovian planets. We shall define as JFCs those with orbital periods P<20yr and Tisserand…

This paper addresses the problem of contour line extraction from scanned topographic maps in poor condition. A novel method is developed, using knowledge of cartography and graphics to extract contours by removing other layers which overlay the contours, and reconstructing…

The production of educational contents in academic environments has been traditionally developed without an integral plan which allows their adequate distribution and access. In addition, it produces effort duplication and misuse of resources. As a possible solution, this work proposes…

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able…

There are three kinds of uncertainty in the process of fish-disease diagnosis, such as randomicity, fuzzy and imperfection, which affect the veracity of fish-disease diagnostic conclusion. So, it is important to construct a fish-disease diagnostic model to effectively deal with…