An overview is given of prototype‐based models in machine learning. In this framework,
observations, ie, data, are stored in terms of typical representatives. Together with a suitable …

With more than two billion pages created by millions of Web page authors and
organizations, the World Wide Web is a tremendously rich knowledge base. The knowledge …

We propose a new unsupervised learning technique for extracting information from large
text collections. We model documents as if they were generated by a two-stage stochastic …

Describes the implementation of a system that is able to organize vast document collections
according to textual similarities. It is based on the self-organizing map (SOM) algorithm. As …

We propose an unsupervised learning technique for extracting information about authors
and topics from large text collections. We model documents as if they were generated by a …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

In traditional customer service support of a manufacturing environment, a customer service
database usually stores two types of service information:(1) unstructured customer service …

The amount of digitized information available on the Internet, in digital libraries, and other
forms of information systems grows at an exponential rate, while becoming more complex …

Background: Internet mailing lists are an important and increasingly common way for cancer
survivors to find information and support. Most studies of these mailing lists have …

A self-organising system functions without central control, and through contextual local
interactions. Components achieve a simple task individually, but a complex collective …