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Titlebook: Business Intelligence; Third European Summe Esteban Zimányi Textbook 2014 Springer Nature Switzerland AG 2014 Big Data.Business intelligenc

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Global Justice and Civil Society, be used for process discovery and conformance checking. Moreover, some very general decomposition results are discussed. These allow for the decomposition and distribution of process discovery and conformance checking problems, thus enabling process mining in the large.
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Euroelections as a European Media Event? article presents an overview of forecasting techniques in database management systems. After discussing possible application areas for time series forecasting, we give a short mathematical background of the main forecasting concepts. We then outline various general strategies of integrating time se
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Taneli Heikka,Katja Valaskivi,Turo Uskalithe extension of the index with additional data structure for storing aggregate values along the hierarchical structure of the index. The aggregates are used for speeding up aggregate queries along dimension hierarchies. Furthermore, we show how the index is used for answering queries in an example
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Introduction to Pattern Mining,bgraphs. In the second part of the paper we then look into the pattern explosion problem. Due to redundancy among patterns, most often the list of all patterns satisfying the frequency thresholds is so large that post-processing is required to extract useful information from them. We give an overvie
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Process Mining in the Large: A Tutorial, be used for process discovery and conformance checking. Moreover, some very general decomposition results are discussed. These allow for the decomposition and distribution of process discovery and conformance checking problems, thus enabling process mining in the large.
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Open Access Semantic Aware Business Intelligence,h the new linked open data paradigm BI systems must meet new requirements such as providing on-demand analysis tasks over any relevant (either internal or external) data source in .. In this paper we discuss the technical challenges behind such requirements, which we refer to as ., and envision a ne
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Transparent Forecasting Strategies in Database Management Systems, article presents an overview of forecasting techniques in database management systems. After discussing possible application areas for time series forecasting, we give a short mathematical background of the main forecasting concepts. We then outline various general strategies of integrating time se
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