Recent papers have shown that, in contrast to ―the Long Tail‖ theory, movie sales remain concentrated in a small number of hits. These papers have argued that concentrated sales can be explained, in part, by heterogeneity in quality and increasing returns from social effects. Our research analyzes an additional explanation: how incomplete information may skew sales patterns. We use the movie br...

This paper surveys the growing number of indu5 trial applications of data mining and knowledge discovery. We look at the existing tools, describe some representative applications, and discuss the major issues and problems for building and deploying successful applications and their adoption by business users. Finally, we examine how to assess the potential of a knowledge discovery application.

Driven by the need for transparent discovery and orchestration of composite services out of elementary services, this paper introduces an innovative approach to Distributed Composite Services Orchestration and Discovery. The proposed concept is based on Variant Configuration theory and Distributed Service Repositories. The authors proceed to describe parts of the specification of a middleware p...

In contrast with traditional modelling methods, which are used to identify parameter values of a model with known structure, equation discovery systems identify the structure of the model also. The model generated with such systems can give experts a better insight into the measured data and can be also used for predicting future values of the measured variables. This paper presents LAGRAMGE, a...

Knowledge Management is a discipline with many faces – among very provocative ones is the research area dealing with automatic discovery of the hidden truth within the data describing the world around us. The basic idea of knowledge discovery is to let the computer search for the knowledge whereas the humans give just broad directions about where and how to search. Surprisingly, it is often the...

This paper describes and analyzes the results of our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the CLEF 2007 GeoCLEF Monolingual English task. Our system uses Linguistic and Geographical Analysis to process topics and document collections. Geographical Document Retrieval is performed with Terrier and Geographical Knowledge Bases. Our experime...

This article outlines new technologies in the areas of automated expertise finding, expert network discover, virtual place-based collaboration, and automated question answering. We illustrate each of these areas with implemented and in some cases empirically evaluated systems. Collectively, these illustrate new methods for automatic discovery of knowledge, experts, and communities in an effecti...

In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we make this notion more precise and present a method how to extract structural information from statistical data. There are two key ideas underlying our approach: First, knowledge discovery is understood as a process which...