This study discusses a novel method called automatic process measurement, which is based on the idea of mining process data from workflow logs. We improve the process mining technique by using Bluetooth wireless technology to do real-time acquisition of process data. The automatic measurement...

Adaptive and innovative application of classical data mining principles and techniques in time series analysis has resulted in development of a concept known as time series data mining. Since the time series are present in all areas of business and scientific research, attractiveness of mining...

It is widely known that significant in-sample evidence of predictability does not garantuee significant out-of-sample predictability. This is often interpreted as an indiciation that in-sample evidence is likely to be spurious and should be discounted. In this paper we question this conventional...

The paper describes an empirical analysis to understand the main drivers of economic growth in the European Union (EU) regions in the past decade. The analysis maintains the traditional factors of growth used in the literature on regional growth - stage of development, population agglomeration,...

1 Einleitung. 2 Herausforderungen bei der Interpretation von Stelleninseraten. 3 Herausforderungen im Umgang mit Big Data und semantischen Technologien. 4 Die Big-Data-Plattform "Jobfeed". 5 Ausblick. 6 Literatur.

An important strategic decision within the food industry is to achieve the optimal product portfolio allowing an organization to support its customers in the best possible way. Numerous models exist to categorize products based on their relative metrics like revenue, volume, margin or...

Analysis of public information from social media could yield interesting results and insights into the world of public opinions about almost any product, service or personality. Social network data is one of the most effective and accurate indicators of public sentiment. In this paper we have...

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Advanced analytical techniques are gaining popularity in addressing complex classification type decision problems in many fields including healthcare and medicine. In this exemplary study, using digitized signal data, we developed predictive models employing three machine learning methods to...

The Observatorio de Costes y Financiación del Transporte Urbano Colectivo (Cost and Funding of Urban Transport Watchdog) and its annual reports on this industry provide an excellent platform to improve awareness of its cost structure, to enable benchmarking strategies/practices for companies,...