Recent trends in intelligent data analysis

European Regional Development Fund

Knowledge management in intelligent tutoring systems

In the last years, Intelligent Tutoring Systems have been a very successful way for improving learning experience. Many issues must be addressed until this technology can be defined mature. One of the main problems within the Intelligent Tutoring Systems is the process of contents authoring: knowledge acquisition and manipulation processes are difficult tasks because they require a specialised skills on computer programming and knowledge engineering. In this thesis we discuss a general framework for knowledge management in an Intelligent Tutoring System and propose a mechanism based on first order data mining to partially automate the process of knowledge acquisition that have to be used in the ITS during the tutoring process. Such a mechanism can be applied in Constraint Based Tutor and in the Pseudo-Cognitive Tutor. We design and implement a part of the proposed architecture, mainly the module of knowledge acquisition from examples based on first order data mining. We then show that the algorithm can be applied at least two different domains: first order algebra equation and some topics of C programming language. Finally we discuss the limitation of current approach and the possible improvements of the whole framework.

Argumentation and artifacts for intelligent multi-agent systems

Reasoning under uncertainty is a human capacity that in software system is necessary and often hidden. Argumentation theory and logic make explicit non-monotonic information in order to enable automatic forms of reasoning under uncertainty. In human organization Distributed Cognition and Activity Theory explain how artifacts are fundamental in all cognitive process. Then, in this thesis we search to understand the use of cognitive artifacts in an new argumentation framework for an agent-based artificial society.

The influence of career histories on team perfomance in new product development: a study of the video game industry

The purpose of this research is to contribute to the literature on organizational demography and new product development by investigating how diverse individual career histories impact team performance. Moreover we highlighted the importance of considering also the institutional context and the specific labour market arrangements in which a team is embedded, in order to interpret correctly the effect of career-related diversity measures on performance. The empirical setting of the study is the videogame industry, and the teams in charge of the development of new game titles. Video games development teams are the ideal setting to investigate the influence of career histories on team performance, since the development of videogames is performed by multidisciplinary teams composed by specialists with a wide variety of technical and artistic backgrounds, who execute a significant amounts of creative thinking. We investigate our research question both with quantitative methods and with a case study on the Japanese videogame industry: one of the most innovative in this sector. Our results show how career histories in terms of occupational diversity, prior functional diversity and prior product diversity, usually have a positive influence on team performance. However, when the moderating effect of the institutional setting is taken in to account, career diversity has different or even opposite effect on team performance, according to the specific national context in which a team operates.

Das neue digitale ‚Shakespeare-Bildarchiv Oppel-Hammerschmidt‘ an der Universitätsbibliothek Mainz : Reden und Beiträge anlässlich seiner öffentlichen Vorstellung am 17. November 2008 an der Johannes Gutenberg-Universität Mainz

On the basis of illustrations of Shakespeare's Hamlet, the new digital 'Oppel-Hammerschmidt Shakespeare Illustration Archive' at the Mainz University Library - together with a lavishly-constructed and multiply-linked Web interface version - was presented to the public on 17 November 2008. This e-book, edited by Andreas Anderhub and Hildegard Hammerschmidt-Hummel, contains the speeches and presentations given on the occasion of the opening ceremony of the electronic archive. The collection of the new archive, published here for the first time, holds about 3,500 images and is part of the only Shakespeare illustration archive in the world. The Shakespeare Illustration Archive was founded in 1946 by the internationally acclaimed Shakespeare and Goethe scholar, Prof. Horst Oppel. This part of the archive was donated to the Mainz University Library on condition that its holdings be digitalised and made available to the public. The collection has been named 'The Oppel-Hammerschmidt Shakespeare Illustration Archive' in accordance with the terms of the Agreement of Donation of 9, 15, and 16 September 2005, and honouring the 16 March 1988 Delegation of Authority and Declaration of Intent by Frau Ingeborg Oppel, Prof. Oppel's widow and legal assignee. Vice-President Prof. Jürgen Oldenstein opened the proceedings by noting that 2008 had been a good year for international Shakespeare scholarship. For, in London, the site of the 'Theatre' in Shoreditch, where Shakespeare's company performed, had been unearthed, and in Mainz the Shakespeare Archive had gone online with thousands of illustrations. The Dean of the Faculty of Philosophy and Philology, Prof. Mechthild Dreyer, who mentioned that she herself had long been successfully employing interdisciplinary research methods, took particular pleasure in the transdisciplinary approach to research resolutely pursued by Prof. Hammerschmidt-Hummel. Prof. Clemens Zintzen (Cologne), former President of the Mainz Academy of Literature and Sciences, recalled highlights from the more than sixty-year-long history of the Shakespeare Illustration Archive. Prof. Kurt Otten (Heidelberg and Cambridge) drew an impressive portrait of Horst Oppel's personality as an academic and praised his influential books on Goethe and Shakespeare. He pointed out that Oppel's Shakespeare Illustration Archive, the basis for many a dissertation, had enjoyed great popularity around the world. Prof. Otten also delineated the academic career of Prof. Hammerschmidt-Hummel and her new findings regarding Shakespeare's time, life and work. Prof. Rüdiger Ahrens OBE (Würzburg) drew attention to Prof. Hammerschmidt-Hummel's research results, directly or indirectly arising out of her work on the Shakespeare Illustration Archive. This research had centred on proving the authenticity of four visual representations of Shakespeare (the Chandos and Flower portraits, the Davenant bust and the Darmstadt Shakespeare death mask); solving the mystery around Shakespeare's 'Dark Lady'; and establishing the dramatist's Catholic religion. Prof. Hammerschmidt-Hummel reported on her 'Shakespeare Illustration' project, describing the nature, dimensions and significance of the Archive's pictorial material, which relates to all of Shakespeare's plays and stretches over five centuries. She explained that the digital 'Oppel-Hammerschmidt Illustration Archive' was an addition to the three-volume edition she had compiled, authored and edited for publication in 2003. Unlike the print version, however, the digital collection had only been partly editorially prepared. It represented source material and a basis for further work. Hammerschmidt-Hummel expressed her thanks to the Head of the Central University Library, Dr Andreas Anderhub, for his untiring commitment. After the initial donation had been made, he had entered enthusiastically into setting up the necessary contacts, getting all the work underway, and clearing the legal hurdles. Hammerschmidt-Hummel was especially grateful to University of Mainz librarian Heike Geisel, who had worked for nearly five years to carry out the large-scale digitalization of a total of 8,800 items. Frau Geisel was also extremely resourceful in devising ways of making the collection yield even more, e.g. by classifying and cross-linking the data, assembling clusters of individual topics that lend themselves to research, and (in collaboration with the art historian Dr Klaus Weber) making the archive's index of artists compatible with the data-bank of artists held by the University of Mainz Institute of Art History. In addition, she compiled an extremely helpful 'users' guide' to the new digital collection. Frau Geisel had enjoyed invaluable support from Dr Annette Holzapfel-Pschorn, the leading academic in the Central IT Department at the University, who set up an intelligent, most impressive Web interface using the latest application technologies. Frau Geisel and Dr Holzapfel-Pschorn were highly praised for their convincing demonstration, using illustrations to Hamlet, of how to access this well-devised and exceptionally user-friendly Web version. For legal reasons, Prof. Hammerschmidt-Hummel pointed out, the collection could not be released for open access on the internet. The media - as Dr Anderhub stressed in his foreword - had shown great interest in the new digital collection of thousands of Shakespearean illustrations (cf. Benjamin Cor's TV feature in "Tagesthemen", 17 November 2008, presented by Tom Buhrow). The ‘Oppel-Hammerschmidt Shakespeare Illustration Archive’ should also meet with particular interest not only among academic specialists, but also among the performers of the arts and persons active in the cultural realm in general, as well as theatre and film directors, literary managers, teachers, and countless Shakespeare enthusiasts.

Classification algorithms for Intelligent Transport Systems

Intelligent Transport Systems (ITS) consists in the application of ICT to transport to offer new and improved services to the mobility of people and freights. While using ITS, travellers produce large quantities of data that can be collected and analysed to study their behaviour and to provide information to decision makers and planners. The thesis proposes innovative deployments of classification algorithms for Intelligent Transport System with the aim to support the decisions on traffic rerouting, bus transport demand and behaviour of two wheelers vehicles. The first part of this work provides an overview and a classification of a selection of clustering algorithms that can be implemented for the analysis of ITS data. The first contribution of this thesis is an innovative use of the agglomerative hierarchical clustering algorithm to classify similar travels in terms of their origin and destination, together with the proposal for a methodology to analyse drivers’ route choice behaviour using GPS coordinates and optimal alternatives. The clusters of repetitive travels made by a sample of drivers are then analysed to compare observed route choices to the modelled alternatives. The results of the analysis show that drivers select routes that are more reliable but that are more expensive in terms of travel time. Successively, different types of users of a service that provides information on the real time arrivals of bus at stop are classified using Support Vector Machines. The results shows that the results of the classification of different types of bus transport users can be used to update or complement the census on bus transport flows. Finally, the problem of the classification of accidents made by two wheelers vehicles is presented together with possible future application of clustering methodologies aimed at identifying and classifying the different types of accidents.

[Molecular analyses for (early) recognition of hematologic diseases - sense and sensibility for molecular analysis: the art of intelligent decision-making]

During the last 10 years several molecular markers have been established as useful tools among the armamentarium of a hematologist. As a consequence, the number of performed hematologic molecular analyses has immensely increased. Often, such tests replace or complement other laboratory methods. Molecular markers can be useful in many ways: they can serve for diagnostics, describe the prognostic profile, predict which types of drugs are indicated, and can be used for the therapeutic monitoring of the patient to indicate an adequate response or predict resistance or relapse of the disease. Many markers fulfill more than one of these aspects. Most important, however, is the right choice of analyses at the right time-points!

Arguments for and against a career in surgery: a qualitative analysis

To evaluate arguments given by board-certified surgeons in Switzerland for and against a career in surgery.

SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients

SMARTDIAB is a platform designed to support the monitoring, management, and treatment of patients with type 1 diabetes mellitus (T1DM), by combining state-of-the-art approaches in the fields of database (DB) technologies, communications, simulation algorithms, and data mining. SMARTDIAB consists mainly of two units: 1) the patient unit (PU); and 2) the patient management unit (PMU), which communicate with each other for data exchange. The PMU can be accessed by the PU through the internet using devices, such as PCs/laptops with direct internet access or mobile phones via a Wi-Fi/General Packet Radio Service access network. The PU consists of an insulin pump for subcutaneous insulin infusion to the patient and a continuous glucose measurement system. The aforementioned devices running a user-friendly application gather patient's related information and transmit it to the PMU. The PMU consists of a diabetes data management system (DDMS), a decision support system (DSS) that provides risk assessment for long-term diabetes complications, and an insulin infusion advisory system (IIAS), which reside on a Web server. The DDMS can be accessed from both medical personnel and patients, with appropriate security access rights and front-end interfaces. The DDMS, apart from being used for data storage/retrieval, provides also advanced tools for the intelligent processing of the patient's data, supporting the physician in decision making, regarding the patient's treatment. The IIAS is used to close the loop between the insulin pump and the continuous glucose monitoring system, by providing the pump with the appropriate insulin infusion rate in order to keep the patient's glucose levels within predefined limits. The pilot version of the SMARTDIAB has already been implemented, while the platform's evaluation in clinical environment is being in progress.

Influences on career choice in music education audition candidates: Pilot study

The purpose of this pilot study was to survey prospective undergraduate music education majors to learn what motivated them to aspire to a career in music education. Respondents were candidates auditioning, but not yet accepted, for music teacher preparation programs at four institutions (N = 228). Findings corroborate prior research that suggests that school music teachers and/or private lesson teachers are highly influential. This study sought to quantify the types of experiences participants had in teaching roles at the time of their college audition, supporting other research suggesting that such experiences may increase interest in a music teaching career. Recommendations include engaging music educators at all PreK–12 levels in actively recruiting and encouraging future teachers, providing private instructors and performance majors with teacher recruitment information, emphasizing earlier identification and preparation of prospective educators, and refining and continuing the work begun in this pilot study.

Career Influences of Music Education Audition Candidates

In this descriptive study, we examined the influences and experiences motivating students to enter college-level music schools as reported by a population of precollegiate students auditioning (but not yet accepted) to music education degree programs. As a follow-up to a published pilot study, this research was designed to quantify the various experiences respondents had as part of their precollege school and community programs that related to teaching and music. Results indicate a strong connection between respondents’ primary musical background and future teaching interest. The top three influential experiences were related to high school ensemble membership (band, choir, orchestra), and the most influential group of individuals in the decision to become a music educator were high school ensemble directors. Respondents from all four primary background groups (band, choir, orchestra, and general or other) rated private lesson teaching as their second strongest future teaching interest, just behind teaching at the high school level in their primary background. Respondents rated parents as moderately influential on their desire to become a music teacher.