Business Intelligence - 6th European Summer School, eBISS 2016, Tours, France, July 3-8, 2016, Tutorial Lectures

This book constitutes the tutorial lectures of the 6th European Business Intelligence and Big Data Summer School, eBISS 2016, held in Tours, France, in July 2016. 

Tutorials were given by renowned experts and covered recent and various aspects of Business Intelligence and Big Data processing, including analytics on graph data, machine translation, pattern mining, scalability, and energy consumption. This volume contains the corresponding lecture notes of the summer school.

Inhaltsverzeichnis

Declarative Multidimensional Graph Queries.- Computational Approaches to Translation Studies.- Two Decades of Pattern Mining: Principles and Methods.- Scalability and realtime on big data, MapReduce, NoSQL and Spark.- Step by Step Towards Energy-aware Data Warehouse Design.

Zusammenfassung

This book constitutes the tutorial lectures of the 6th European Business Intelligence and Big Data Summer School, eBISS 2016, held in Tours, France, in July 2016. 

Tutorials were given by renowned experts and covered recent and various aspects of Business Intelligence and Big Data processing, including analytics on graph data, machine translation, pattern mining, scalability, and energy consumption. This volume contains the corresponding lecture notes of the summer school.

Produktdetails

• Mitarbeit: Patric Marcel (Herausgeber), Patrick Marcel (Herausgeber), Zimányi (Herausgeber), Zimányi (Herausgeber), Esteban Zimányi (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.07.2017
• EAN: 9783319611631
• ISBN: 978-3-31-961163-1
• Seiten: 139
• Abmessung: 155 mm x 8 mm x 7 mm
• Gewicht: 254 g
• Illustration: IX, 139 p. 61 illus.
• Serien: Lecture Notes in Business Information Processing; Lecture Notes in Business Information Processing
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Sozialwissenschaften, Recht,Wirtschaft > Wirtschaft > Management; C, Big Data, Data Mining, Artificial Intelligence, Business and Management, Data Warehousing, Information Retrieval, Public Administration, Application software, Data Mining and Knowledge Discovery, Management science, Systems analysis & design, Information technology: general issues, Big Data/Analytics, Expert systems / knowledge-based systems, Computer Appl. in Administrative Data Processing, Information Storage and Retrieval, Computer system failures, System Performance and Evaluation, Computer Application in Administrative Data Processing, Data Analysis and Big Data