Advances in ICT for Business, Industry and Public Sector (eBook, PDF)

Redaktion: Mach-Król, Maria; Pelech-Pilichowski, Tomasz; M. Olszak, Celina

• Format: PDF

Produktbeschreibung

This contributed volume is a result of discussions held at ABICT'13(4^th International Workshop on Advances in Business ICT) in Krakow, September 8-11, 2013. The book focuses on Advances in Business ICT approached from a multidisciplinary perspective and demonstrates different ideas and tools for developing and supporting organizational creativity, as well as advances in decision support systems.This book is an interesting resource for researchers, analysts and IT professionals including software designers. The book comprises eleven chapters presenting research results on business analytics in organization, business processes modeling, problems with processing big data, nonlinear time structures and nonlinear time ontology application, simulation profiling, signal processing (including change detection problems), text processing and risk analysis.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 189
• Erscheinungstermin: 9. Oktober 2014
• Englisch
• ISBN-13: 9783319113289
• Artikelnr.: 43793020

Inhaltsangabe

A Multi-level Hierarchical Approach for Configuring Business Processes.- Profiling simulation performance: The example of the German toll system.- Analysis of Content of Posts and Comments in Evolving Social Groups.- Generation of Hierarchical Business Process Models from Attribute Relationship Diagrams.- Nonlinear Time Structures and Nonlinear Time Ontology for Description of Economic Phenomena.- Business Intelligence and Analytics in Organizations.- Low-frequency Signal Reconstruction and Abrupt Change Detection in Non-Stationary Time Series by Enhanced Moving Trend Based Filters.- The Assessment of the EPQ Parameter for Detecting H-Index Manipulation and the Analysis of Scientific Publications.- Fuzzy Multi-attribute Evaluation of Investments.- Theory of digital data processing in the ICT.- The opportunities and challenges connected with implementation of the Big Data concept.