FLOREON+: Using Case-Based Reasoning
In A System For Flood Prediction
Author(s)
T. Kocyan, J. Martinovic, J. Unucka & I. Vondrak
Abstract
Human consumption and other natural factors are changing our climate and the
world we live in. The changing climate and the increased risk of flooding around
the world are among some of today’s most urgent social issues. There are many
resources and technology available to assist in damage reduction and minimizing
consequences related to this natural phenomenon. This is possible because
the development of information technology has expanded into many branches of
human life. This article describes the development of a knowledge system created
to assist in limiting cases of natural disasters. Our goal is to design and create a
system to be used by either professional and non-professional organizations, or
individuals, as a tool for exchanging knowledge. Our Disaster Prevention system
(DIP) combines data mining and the analysis of past events to predict future natural
disasters. We apply the Case-Based Reasoning (CBR) method. The principle
of this method is based on collecting data (knowledge, experiences, etc.) and then
applying this information to achieve new solutions. Tests have shown that by using
information about past events, it is possible to determine future patterns of nature
(e.g. weather conditions on specific land surfaces). These patterns can be used for
describing the risk of future natural disasters and enables us to deduce the threat
imposed by them. Analyzing this data and creating new solutions may assist in the
fight to minimize damage incurred by these disasters.
Keywords: Case-Based Reasoning, disaster management, case-based prediction,
information retrieval.
Keywords
Case-Based Reasoning, disaster management, case-based prediction,
information retrieval
Related Book
Other papers in this volume
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