Advances in Business ICT (eBook, PDF)

Redaktion: Mach-Król, Maria; Pelech-Pilichowski, Tomasz

• Format: PDF

Produktbeschreibung

Futurists and scientists alike profess the coming of a new era in the history - the knowledge era. The notion of knowledge is as old as humans' self-consciousness, but new challenges appear. The meaning of the word "knowledge" is changing from cognitive notion to a technical term denoting a structured economic resource to be actively managed.

This contributed volume is a result of vivid and extremely valuable discussions held at 3rd International Workshop on Advances in Business ICT (ABICT) in Wroclaw, Poland, September 9-12, 2012. The workshop focused on Advances in Business ICT approached from a multidisciplinary perspective. It provided an international forum for scientists/experts from academia and industry to discuss and exchange current results, applications, new ideas of ongoing research and experience on all aspects of Business Intelligence. ABICT has also been an opportunity to demonstrate different ideas and tools for developing and supporting organizational creativity, as well as advances in decision support systems.

This book is of interest to researchers, widely understood business, public sector and IT professionals.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 133
• Erscheinungstermin: 29. November 2013
• Englisch
• ISBN-13: 9783319036779
• Artikelnr.: 44131356

Inhaltsangabe

Simulation driven development of the German toll system - simulation performance at the kernel and application level.- Geoportal as Interface for Data Warehouse and Business Intelligence Information System.- Prospects of Using Temporal Logics for Knowledge Management.- On Problems of Automatic Legal Texts Processing and Information Acquiring from Normative Acts.- Artificial Intelligence for Knowledge Management with BPMN and Rules.- Square Complexity Metrics for Business Process Models.- Spatial Component in Business Intelligence System for Advanced Threat and Risk Analysis.- Model Driven Architecture and classification of business rules modelling languages.