Jan Rauch

Rudolf Michael Haller

Maja Rapp

Andrea Hämmerle

Eric Aliberg

Norman Backhaus

Urs Breitenmoser

Simon Engeli

Heinrich Haller

Ursina Haller

Sarah Hartmann

David Jenny

Hans Lozza

Ueli Rehsteiner

Giuseppe Spina

"Sein Herz schlägt für den Nationalpark. In seinen Adern pulsiert Forscherblut. [...] Getreu dem Titel dieser Festschrift agiert der scheidende Nationalparkdirektor "Am Puls der Natur". Als starke Persönlichkeit und kompetenter Wissenschaftler hat Heinrich Haller den Park im Spannungsfeld von Forschung, Management und Politik als Leuchtturm des Naturschutzes positioniert." Aus dem Vorwort von Doris Leuthard "Am Puls der Natur" handelt vom breiten Spektrum an Themen, Aufgaben und Konflikten, mit welchem der Schweizerische Nationalpark und sein Direktor im Lauf der Jahrzehnte konfrontiert war und ist. Der Band enthält Beiträge von Autorinnen und Autoren verschiedenster Disziplinen. Es geht um Wissenschaft und Forschung, Politik und Gesellschaft sowie um die Person des scheidenden Direktors.

Der Nationalpark und sein Direktor im Spannungsfeld zwischen Forschung, Management und Politik

Am Puls der Natur

Milan Šimůnek

David Chudán

Petr Máša

Mechanizing hypothesis formation is an approach to exploratory data analysis. Its development started in the 1960s inspired by the question “can computers formulate and verify scientific hypotheses?”. The development resulted in a general theory of logic of discovery. It comprises theoretical calculi dealing with theoretical statements as well as observational calculi dealing with observational statements concerning finite results of observation. Both calculi are related through statistical hypotheses tests. A GUHA method is a tool of the logic of discovery. It uses a one-to-one relation between theoretical and observational statements to get all interesting theoretical statements. A GUHA procedure generates all interesting observational statements and verifies them in a given observational data. Output of the procedure consists of all observational statements true in the given data. Several GUHA procedures dealing with association rules, couples of association rules, action rules, histograms, couples of histograms, and patterns based on general contingency tables are involved in the LISp-Miner system developed at the Prague University of Economics and Business. Various results about observational calculi were achieved and applied together with the LISp-Miner system. The book covers a brief overview of logic of discovery. Many examples of applications of the GUHA procedures to solve real problems relevant to data mining and business intelligence are presented. An overview of recent research results relevant to dealing with domain knowledge in data mining and its automation is provided. Firsthand experiences with implementation of the GUHA method in the Python language are presented.

Principles and Case Studies

Mechanizing Hypothesis Formation

Zbigniew W. Ras

Petr Berka

Tapio Elomaa

This book constitutes the refereed proceedings of the 18th International Symposium on Methodologies for Intelligent Systems, ISMIS 2009, held in Prague, Czech Republic, in September 2009. The 60 revised papers presented together with 4 plenary talks were carefully reviewed and selected from over 111 submissions. The papers are organized in topical sections on knowledge discovery and data mining, applications and intelligent systems in Medicine, logical and theoretical aspects of intelligent systems, text mining, applications of intelligent sysems in music, information processing, agents, machine learning, applications of intelligent systems, complex data, general AI as well as uncertainty.

18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009, Proceedings

Foundations of Intelligent Systems

Jan Zytkow

This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.

Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings

Principles of Data Mining and Knowledge Discovery

Jan Rauch

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