Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data (Revised)

Most current clustering based anomaly detection methods use scoring schema and thresholds to classify anomalies. These methods are often tailored to target specific data sets with "known" number of clusters. The paper provides a streaming clustering and anomaly detection algorithm that does not require strict arbitrary thresholds on the anomaly scores or knowledge of the number of clusters while performing probabilistic anomaly detection and clustering simultaneously. This ensures that the cluster formation is not impacted by the presence of anomalous data, thereby leading to more reliable definition of "normal vs abnormal" behavior. The motivations behind developing the INCAD model and the path that leads to the streaming model is discussed.Comment: 13 pages; fixes typos in equations 5,6,9,10 on inference using Gibbs samplin

Stochastic motion of test particle implies that G varies with time

The aim of this letter is to propose a new description to the time varying gravitational constant problem, which naturally implements the Dirac's large numbers hypothesis in a new proposed holographic scenario for the origin of gravity as an entropic force. We survey the effect of the Stochastic motion of the test particle in Verlinde's scenario for gravity\cite{Verlinde}. Firstly we show that we must get the equipartition values for $t\rightarrow\infty$ which leads to the usual Newtonian gravitational constant. Secondly,the stochastic (Brownian) essence of the motion of the test particle, modifies the Newton's 2'nd law. The direct result is that the Newtonian constant has been time dependence in resemblance as \cite{Running}.Comment: Accepted in International Journal of Theoretical Physic

Public Administration Reform in Europe –Views and Experiences from Senior Executives in 10 Countries

status: publishe

Public Administration Reform in Europe. Views and Experiences from Senior Executives in 10 Countries. COCOPS WP3 Cross-national Report

__Abstract__ Coordinating for Cohesion in the Public Sector of the Future (COCOPS), as one of the largest comparative public management research projects in Europe, intends to provide a comprehensive picture of the challenges facing the European public sector of the future and to systematically explore the impact of New Public Management (NPM)-style reforms in Europe. The project brings together public administration scholars from eleven universities in ten countries1 and is funded as part of the European Union’s 7th Framework Programme; it runs from January 2011 until June 2014. The research is comparative and evidence-based, drawing on both existing data and innovative new quantitative and qualitative data collection. A cornerstone of the project is the COCOPS Executive Survey on Public Sector Reform in Europe, an original survey of public sector senior executives in ten European countries, and currently the largest of its kind implemented in Europe. The survey explores the executives’ perceptions, experiences and opinions with regard to their work context and public administrative reforms and the impact of these factors on public sector performance more generally; particular attention is given to the employment and health policy sectors