Refine
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (1243)
- Fachbereich Informatik (1148)
- Fachbereich Angewandte Naturwissenschaften (766)
- Fachbereich Ingenieurwissenschaften und Kommunikation (636)
- Institut für funktionale Gen-Analytik (IFGA) (584)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (485)
- Fachbereich Sozialpolitik und Soziale Sicherung (403)
- Präsidium (403)
- Institute of Visual Computing (IVC) (313)
- Institut für Cyber Security & Privacy (ICSP) (307)
- Institut für Verbraucherinformatik (IVI) (252)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (195)
- Institut für Sicherheitsforschung (ISF) (94)
- Graduierteninstitut (66)
- Institut für Medienentwicklung und -analyse (IMEA) (42)
- Stabsstelle Kommunikation und Marketing (37)
- Centrum für Entrepreneurship, Innovation und Mittelstand (CENTIM) (35)
- Institut für Detektionstechnologien (IDT) (30)
- Zentrum für Innovation und Entwicklung in der Lehre (ZIEL) (29)
- Bibliothek (24)
- Sprachenzentrum (24)
- Zentrum für Ethik und Verantwortung (ZEV) (24)
- Institut für Soziale Innovationen (ISI) (13)
- Verwaltung (12)
- Zentrum für Wissenschafts- und Technologietransfer (ZWT) (10)
- Institut für IT-Service (ITS) (7)
- Institut für KI und Autonome Systeme (A2S) (7)
- Institut für Existenzgründung und Mittelstandsförderung (IfEM) (3)
- International Office (3)
- Gleichstellungsstelle (1)
- Zentrum für Campus-IT (1)
Document Type
- Article (2432)
- Conference Object (1806)
- Part of a Book (942)
- Book (monograph, edited volume) (452)
- Part of Periodical (411)
- Report (201)
- Contribution to a Periodical (117)
- Doctoral Thesis (106)
- Working Paper (94)
- Preprint (90)
Year of publication
Keywords
- Lehrbuch (88)
- Deutschland (34)
- Nachhaltigkeit (30)
- Controlling (25)
- Unternehmen (25)
- Management (20)
- Corporate Social Responsibility (18)
- Betriebswirtschaftslehre (17)
- Digitalisierung (17)
- Machine Learning (17)
Machine Learning seems to offer the solution to the central problem in recommender systems: Learning to recommend interesting items from observations. However, one tends to run into similar problems each time one tries to apply out-of-the-box solutions from Machine Learning. This article relates the problem of recommendation by user modeling closely to the machine learning problem and explicates some inherent dilemmas. A few examples will illustrate specific approaches and discuss underlying assumptions on the domain or how learned hypotheses relate to requirements on the user model. The article concludes with a tentative 'checklist' that one might like to consider when thinking about to use Machine Learning in User Adaptive environments such as recommender systems.
Learning Adaptive Behavior
(2005)
User Modeling and Machine Learning for User Modeling have both become important research topics and key techniques in recent adaptive systems. One of the most intriguing problems in the `information age´ is how to filter relevant information from the huge amount of available data. This problem is tackled by using models of the user´s interest in order to increase precision and discriminate interesting information from un-interesting data. However, any user modeling approach suffers from several major drawbacks: User models built by the system need to be inspectable and understandable by the user himself. Secondly, users in general are not willing to give feedback concerning user satisfaction by the delivered results.
The World Wide Web (Www) offers a huge number of documents which deal with information concerning nearly any topic. Thus, search engines and meta search engines currently are the key to finding information. Search engines with crawler based indexes vary in recall and offer a very bad precision. Meta search engines try to overcome these lacks by simple methods for information extraction, information filtering and integration of heterogenous information resources. Only few search engines employ intelligent techniques in order to increase precision.
The problem of filtering relevant information from the huge amount of available data is tackled by using models of the user's interest in order to discriminate interesting information from un-interesting data. As a consequence, Machine Learning for User Modeling (ML4UM) has become a key technique in recent adaptive systems. This article presents the novel approach of conceptual user models which are easy to understand and which allow for the system to explain its actions to the user. We show that ILP can be applied for the task of inducing user models from even sparse feedback by mutual sample enlargement. Results are evaluated independently of domain knowledge within a clear machine learning problem definition. The whole concept presented is realized in a meta web search engine, OySTER.
Companies often have difficulties determining which criteria to base their investment decisions in different countries on. When considering direct foreign investment several risk indices are available. The PCI (Peren-Clement-Index) in its original form was developed in 1998. Its further refinement improves the PCI in three major ways: First, it offers a dynamic adjustment of criteria and consideration of recent changes in the international environment. Second, it provides business specificities of a company or its industrial sector to be considered in addition to macroeconomic aspects by a two-dimensional presentation, which ensures a customized assessment. Third, the PCI allows for consolidating investment decisions by combining a resource-orientated with a market-oriented view. The PCI allows, unlike other indices, a customized and company-specific strategic planning process. Ultimately companies must take up both perspectives in the context of an international investment decision. The use of risk indices in corporate planning for assessing global investments decision creates a fundamentally new of risk assessment.
Medizintourismus
(2017)
Jährlich entscheiden sich Millionen Menschen für eine Behandlung in auslndischen Kliniken, da beispielsweise die medizinische Versorgung im Heimatland nicht gewährleistet oder mangelhaft ist, der Weg zum Spezialisten im Nachbarland kürzer ist als im eigenen Land oder die Behandlung im Ausland deutlich preiswerter ist als zu Hause. Rund 30 Länder sind weltweit im Segment Medizintourismus stark engagiert, weitere 70 Nationen verfügen über einzelne Kliniken mit einer Anziehungskraft für internationale Patienten.
Telecollaborating and communicating in online contexts using English as a Lingua Franca (ELF) requires students to develop multiple literacies in addition to foreign language skills and intercultural communicative competence. This chapter looks at the intersection of technology and teaching ELF, examining mutual contributions of technologies, more specifically Web 2.0, and ELF to each other, and the challenges in designing and implementing collaboration projects across cultures. Moreover, it looks at how the development of digital competencies in ELF (DELF) can be enhanced through the implementation of Web 2.0 mediated intercultural dialogues. The detail of the research design including internet tools used, participants and tasks are also discussed. Data analysis points to a positive attitude towards telecollaboration, also providing confirmation of some of the problems identified in theoretical framework, such as different levels of personal engagement.
This book presents theory and latest application work in Bond Graph methodology with a focus on:
Hybrid dynamical system models, Model-based fault diagnosis, model-based fault tolerant control, fault prognosis and also addresses Open thermodynamic systems with compressible fluid flow, and Distributed parameter models of mechanical subsystems.
In addition, the book covers various applications of current interest ranging from motorised wheelchairs, in-vivo surgery robots, walking machines to wind-turbines.The up-to-date presentation has been made possible by experts who are active members of the worldwide bond graph modelling community.
This book is the completely revised 2nd edition of the 2011 Springer compilation text titled Bond Graph Modelling of Engineering Systems – Theory, Applications and Software Support. It extends the presentation of theory and applications of graph methodology by new developments and latest research results.
Like the first edition, this book addresses readers in academia as well as practitioners in industry and invites experts in related fields to consider the potential and the state-of-the-art of bond graph modelling.
Integrating Bond Graph-Based Fault Diagnosis and Fault Accommodation Through Inverse Simulation
(2017)
Interkulturelles Management
(2017)
Klar und verständlich stellt dieses Buch die wesentlichen Rahmenbedingungen und Instrumente des internationalen Managementhandelns dar. Diese treten in der Unternehmenspraxis z. B. in der Führung und Zusammenarbeit von Mitarbeitern unterschiedlicher Kulturen oder im internationalen Projektmanagement auf. Darüber hinaus eröffnet das Werk Perspektiven, die Erfahrungen im internationalen Managementhandeln auf andere Kulturunterschiede im Unternehmen – und damit nutzbare Diversity-Potenziale – zu übertragen.