On the Combination of Logistic Regression and Local Probability Estimates

In this paper we give a survey of the combination of classifiers. We briefly describe basic principles of machine learning and the problem of classifier construction and review several approaches to generate different classifiers as well as established methods to combine different classifiers. Then, we introduce our novel approach to assess the appropriateness of different classifiers based on their characteristics for each test point individuall

Framework für die Nutzenargumentation des Produktinformationsmanagements

Zusammenfassung: Effizientes und effektives Produktinformationsmanagement (PIM) ist einer der Erfolgsfaktoren für moderne Geschäftsmodelle. Als wesentliche Teilaufgabe des Enterprise Content Management bildet es im Unternehmen eine Querschnittsfunktion, von der verschiedene Unternehmensbereiche profitieren: von der Beschaffung über die Lagerhaltung und Produktion bis zum Service. Gerade aus diesem Grund treten in den Unternehmen jedoch Schwierigkeiten bei der Identifikation und Quantifizierung der Nutzenpotenziale von PIM auf. Für die Nutzenanalyse ist eine PIM-Initiative an Geschäftstreiber zu koppeln, weil nur dadurch der Nutzen transparent gemacht werden kann. Dabei wird deutlich, dass die Verbesserung der Produktinformationsqualität als zentrales Ziel von PIM positiv auf einzelne Nutzendimensionen (Kosten, Zeit, Qualität und Umsatz) wirkt. Mithilfe des dargestellten Frameworks können in der Praxis schnell und einfach geeignete Nutzenpotenziale für die PIM-Initiative im eigenen Unternehmen identifiziert werden. Diese wiederum bilden die Grundlage einer Wirtschaftlichkeitsbetrachtung, die erforderlich ist, um eine PIM-Investition zu rechtfertige

Consistency of the Two Higgs Doublet Model and CP violation in top production at the LHC

It is important to provide guidance on whether CP violation may be measurable in top-quark production at the Large Hadron Collider. The present work extends an earlier analysis of the non-supersymmetric Two-Higgs-Doublet Model in this respect, by allowing a more general potential. Also, a more comprehensive study of theoretical and experimental constraints on the model is presented. Vacuum stability, unitarity, direct searches and electroweak precision measurements severely constrain the model. We explore, at low \tan\beta, the allowed regions in the multidimensional parameter space that give a viable physical model. This exploration is focused on the parameter space of the neutral sector rotation matrix, which is closely related to the Yukawa couplings of interest. In most of the remaining allowed regions, the model violates CP. We present a quantitative discussion of a particular CP-violating observable. This would be measurable in semileptonically decaying top and antitop quarks produced at the LHC, provided the number of available events is of the order of a million.Comment: 45 pages, 10 figures, some in (essential) colour. Figures 2, 6 and 7 are bitmapped, better quality available on request. Version to appear in Nucl. Phys.

Towards an Electronic Marketplace for Bricks-and-Mortar Services

Service provision of bricks-and-mortar services (e.g. cleaning, gardening) poses several challenges to the consumer. Finding a service provider as well as ordering and coordinating the service provision, requires intensive interaction between consumer and service provider. Due to the regional anchoring of these services, they are, to a large extent, provided by small- and medium-sized enterprises (SMEs). This poses additional challenges to the consumer: the market is fragmented and processes differ across service providers and industries. This problem is well-solved for tangible goods: consumers buy goods from different sellers via one marketplace (e.g. Amazon marketplace, eBay) and a seller-independent process. For services a similar consumer support is lacking. In this paper we address the gap from a consumer’s perspective by proposing a software architecture that integrates standard applications and modules to support the consumer process. While the work is still in progress, first practice applications demonstrate the artifact’s usefulness and viability

Towards an electronic marketplace for bricks-and-mortar services

Service provision of bricks-and-mortar services (e.g. cleaning, gardening) poses several challenges to the consumer. Finding a service provider as well as ordering and coordinating the service provision, requires intensive interaction between consumer and service provider. Due to the regional anchoring of these services, they are, to a large extent, provided by small- and medium-sized enterprises (SMEs). This poses additional challenges to the consumer: the market is fragmented and processes differ across service providers and industries. This problem is well-solved for tangible goods: consumers buy goods from different sellers via one marketplace (such as Amazon marketplace, eBay, etc.) and a seller-independent process. For services a similar consumer support is lacking. In this paper we address the gap from a consumer’s perspective by proposing a software architecture that integrates standard applications and modules to support the consumer process. While the work is still in progress, first practice applications demonstrate the artifact’s usefulness and viability

Towards a Framework for Corporate Data Quality Management

Today’s market environment requires companies to adapt to new business models and to improve their operational excellence in terms of process efficiency and organisational effectiveness. Agility and flexibility build on high-quality corporate data and powerful corporate data management. This paper proposes a framework for corporate data quality management. The structure of the framework consists of the three layers of Business Engineering (strategy, organisation and information systems) as well as the two perspectives of data management (governance and execution). The scope of the framework is deduced from the state of the art in the domains of IT and data management such as COBIT and ITIL. The framework helps to determine which tasks need to be performed for improving corporate data quality and how they are interrelated. It helps to combine corporate data management to the business objectives of an organisation and to anchor it efficiently within the existing organisational structure

Bioinformatic-driven search for metabolic biomarkers in disease

The search and validation of novel disease biomarkers requires the complementary power of professional study planning and execution, modern profiling technologies and related bioinformatics tools for data analysis and interpretation. Biomarkers have considerable impact on the care of patients and are urgently needed for advancing diagnostics, prognostics and treatment of disease. This survey article highlights emerging bioinformatics methods for biomarker discovery in clinical metabolomics, focusing on the problem of data preprocessing and consolidation, the data-driven search, verification, prioritization and biological interpretation of putative metabolic candidate biomarkers in disease. In particular, data mining tools suitable for the application to omic data gathered from most frequently-used type of experimental designs, such as case-control or longitudinal biomarker cohort studies, are reviewed and case examples of selected discovery steps are delineated in more detail. This review demonstrates that clinical bioinformatics has evolved into an essential element of biomarker discovery, translating new innovations and successes in profiling technologies and bioinformatics to clinical application

A Cellular Automaton Framework for Infectious Disease Spread Simulation

In this paper, a cellular automaton framework for processing the spatiotemporal spread of infectious diseases is presented. The developed environment simulates and visualizes how infectious diseases might spread, and hence provides a powerful instrument for health care organizations to generate disease prevention and contingency plans. In this study, the outbreak of an avian flu like virus was modeled in the state of Tyrol, and various scenarios such as quarantine, effect of different medications on viral spread and changes of social behavior were simulated