Beschreibung:
To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the "Big Data" phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors', suppliers', or distributors' data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data.
Introduction to Pattern Mining.- Process Mining in the Large: A Tutorial.- Ontology-Driven Business Intelligence for Comparative Data Analysis.- Open Access Semantic Aware Business Intelligence.- Transparent Forecasting Strategies in Database Management Systems.- On Index Structures for Star Query Processing in Data Warehouses.- Intelligent Wizard for Human Language Interaction in Business Intelligence.