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Tech Report kmi-98-08 Abstract


Bayesian Methods for Intelligent Data Analysis
Techreport ID: kmi-98-08
Date: 1998
Author(s): Marco Ramoni and Paola Sebastiani
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This paper provides an introduction to Bayesian statistics as methodological tool for intelligent data analysis, knowledge discovery, and machine learning. The paper starts from the basic concepts of Bayesian statistics and reaches the presentation of most recent developments of the field, such as Bayesian Belief Networks. Knowledge of basic statistical concepts is required. 1. Knowledge Media Institute, The Open University. 2. Department of  Statistics, The Open University.
 
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Knowledge Management is...


Knowledge Management
Creating learning organisations hinges on managing knowledge at many levels. Knowledge can be provided by individuals or it can be created as a collective effort of a group working together towards a common goal, it can be situated as "war stories" or it can be generalised as guidelines, it can be described informally as comments in a natural language, pictures and technical drawings or it can be formalised as mathematical formulae and rules, it can be expressed explicitly or it can be tacit, embedded in the work product. The recipient of knowledge - the learner - can be an individual or a work group, professionals, university students, schoolchildren or informal communities of interest.
Our aim is to capture, analyse and organise knowledge, regardless of its origin and form and make it available to the learner when needed presented with the necessary context and in a form supporting the learning processes.