Big Data and Analytics: Concepts, Methods, Techniques, and Applications

An Introduction to the MISD Technology

Aleksey Popov, Bauman Moscow State Technical University, Russian Federation

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Comparing Data Science Project Management Methodologies via a Controlled Experiment

Jeffrey Saltz, Syracuse University
Ivan shamshurin, Syracuse University
Kevin Crowston, Syracuse University

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Data Systems Fault Coping for Real-time Big Data Analytics Required Architectural Crucibles

Stephen Cohen, Microsoft
William H. Money, The Citadel

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Introducing Data Science to Undergraduates through Big Data: Answering Questions by Wrangling and Profiling a Yelp Dataset

Scott Jensen, San Jose State University

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Introduction to Big Data and Analytics: Concepts, Methods, Techniques, and Application Minitrack

Stephen Kaisler, SHK and Associates
Frank Armour, American University
Alberto Espinosa, American University

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Service-oriented Cost Allocation for Business Intelligence and Analytics: Who pays for BI&A?

Raphael Grytz, University of Paderborn
Artus Krohn-Grimberghe, University of Paderborn

Hilton Waikoloa Village, Hawaii

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Value Oriented Big Data Strategy: Analysis & Case Study

Jonathan Arcondara, ESCP Europe, France
Khaled Himmi, ESCP Europe, France
Peiqing Guan, University of Florida
Wei Zhou, ESCP EUROPE, Paris, France

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