Lars Schmidt-Thieme

Diese Arbeit beschaftigt sich mit Assoziationsregeln und dem Auffinden haufiger Muster und Strukturen in komplexen Daten, z.B. in folgenwertigen Daten oder Daten, die als Folgen von Mengen beschrieben werden konnen. Solche Daten fallen in einer Vielzahl von Anwendungskontexten an, unter anderem als Protokolldaten in elektronischen Transaktionssystemen, z.B. in Form von Warenkorben wiederkehrender Besucher eines Online-Shops. Als Hauptbeitrag wird ein abstraktes Verfahren fur das Mining haufiger Muster in allgemeinen Musterraumen entwickelt. Klassische Verfahren wie der Apriori-Algorithmus sowie seine zahllosen Varianten konnen als Spezialisierungen dieses abstrakten Verfahrens aufgefasst werden. Eine spezielle Datenstruktur, der geschachtelte Prefixbaum, ermoglicht die effiziente Implementation dieses Verfahrens. Mit Hilfe von Schachtelungsoperatoren wird schliesslich ein Baukasten fur Apriori-artige Mining-Algorithmen zur Verfugung gestellt."

mit Anwendungen im Web Mining

Assoziationsregel-Algorithmen für Daten mit komplexer Struktur

Reinhold Decker

Daniel Baier

It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.

Data Analysis and Decision Support

Andreas Geyer-Schulz

Jonas Kunze

Wolfgang A. Gaul

This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.

Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010

Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Wolfgang Gaul

Christine Preisach

Hans Burkhardt

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007

Data Analysis, Machine Learning and Applications

Lars Schmidt-Thieme

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