The TCGOV 2005 international conference on e-government was held at the Free University of Bozen-Bolzano during March 2-4, 2005. The conference was initiated by the working group "Towards Electronic Democracy" (TED) of the European Science Foundation and was jointly organized by the Free University ofBozen-Bolzano,theMunicipalityofBozen-Bolzano,theTEDWorkingGroup, and the IFIP Working Group 8.5. The conference addressed a large spectrum of issues that are relevant and have to be investigated for a successful transition from the traditional form of government to a new form known as e-government. The main focus was on the following topics: - improving citizen participation and policy making (e-democracy) - government application integration - semantic Web technologies for e-government - security aspects for e-government services Two sessions were dedicated to e-democracy, an emerging area within- government that seeks to enhance democratic processes and provide increased opportunities for individuals and communities to be involved in governmental decisions.Thecontributionsofthesetwosessionscovermorefundamentalresults and insights as well as experiences from di?erent countries. Another focus was on government application integration and the use of - mantic Web technologies, which are important technical aspects on the agenda of e-government research. Di?erent architectures for the integration and orch- tration of distributed services and processes were presented along with two case studies. Three papers about Semantic Web technologies discussed the use of ontologies in e-government.

This volume presents 45 articles dealing with theoretical aspects, methodo logical advances and practical applications in domains relating to classifica tion and clustering, statistical and computational data analysis, conceptual or terminological approaches for information systems, and knowledge struc tures for databases. These articles were selected from about 140 papers presented at the 19th Annual Conference of the Gesellschaft fur Klassifika tion, the German Classification Society. The conference was hosted by W. Polasek at the Institute of Statistics and Econometry of the University of 1 Basel (Switzerland) March 8-10, 1995 . The papers are grouped as follows, where the number in parentheses is the number of papers in the chapter. 1. Classification and clustering (8) 2. Uncertainty and fuzziness (5) 3. Methods of data analysis and applications (7) 4. Statistical models and methods (4) 5. Bayesian learning (5) 6. Conceptual classification, knowledge ordering and information systems (12) 7. Linguistics and dialectometry (4). These chapters are interrelated in many respects. The reader may recogni ze, for example, the analogies and distinctions existing among classification principles developed in such different domains as statistics and information sciences, the benefit to be gained by the comparison of conceptual and ma thematical approaches for structuring data and knowledge, and, finally, the wealth of practical applications described in many of the papers. For convenience of the reader, the content of this volume is briefly reviewed.

In diesem Lehrbuch zur schliessenden (induktiven) Statistik werden die grundlegenden Methoden der Sch tz- und Testtheorie auf einf hrendem Niveau f r Studenten der Wirtschaftswissenschaften dargestellt. Neu ist in diesem Buch ein "dualer" Zugang, in dem die klassische und die Bayes-Theorie gemeinsam dargestellt werden. Die rasante Entwicklung der Bayes-Methoden in den letzten Jahren macht eine einf hrende Darstellung dieser Methoden notwendig. So werden HPD-Intervalle (h chste Wahrscheinlichkeitsdichte) und einfache Bayes-Tests als Alternativen zu Konfidenzintervalle und Signifikanztest erkl rt. Alle Methoden werden ausf hrlich an Beispielen erkl rt.

Explorative Datenanalyse (EDA), deskriptive Statistik und graphische Darstellungstechnik werden unter einem gemeinsamen Aspekt beschrieben. Dem Studenten im ersten Studienjahr soll damit bereits moeglichst fruh ein UEberblick uber die verschiedenen Typen der statistischen Modellierung geboten werden. Das Buch prasentiert resistente statistische Methoden, aber ohne deren wahrscheinlichkeitstheoretische oder induktive Begrundung. An mehreren Beispielen aus den Sozial- und Wirtschaftswissenschaften wird gezeigt, wie ein deskriptiver Modellbildungsprozess mit einfachen Mitteln moeglich ist.