Ausgabe 2/2018
Special Issue on Big Data & Analytics for Societal Impact: Recent Research and Trends
Inhalt (15 Artikel)
Big Data & Analytics for Societal Impact: Recent Research and Trends
Ashish Gupta, Amit Deokar, Lakshmi Iyer, Ramesh Sharda, Dave Schrader
A comparative analysis of semi-supervised learning: The case of article selection for medical systematic reviews
Jun Liu, Prem Timsina, Omar El-Gayar
The impact of big data analytics on firms’ high value business performance
Aleš Popovič, Ray Hackney, Rana Tassabehji, Mauro Castelli
Keep the conversations going: engagement-based customer segmentation on online social service platforms
Nripesh Trivedi, Daniel Adomako Asamoah, Derek Doran
Open Access
Project description and crowdfunding success: an exploratory study
Mi (Jamie) Zhou, Baozhou Lu, Weiguo (Patrick) Fan, G. Alan Wang
Enabling self-service BI: A methodology and a case study for a model management warehouse
David Schuff, Karen Corral, Robert D. St. Louis, Greg Schymik
A conceptual framework for quality healthcare accessibility: a scalable approach for big data technologies
Miloslava Plachkinova, Au Vo, Rahul Bhaskar, Brian Hilton
Response to Delamater’s Comment on “A Conceptual Framework for Quality Healthcare Accessibility: A Scalable Approach for Big Data Technologies”
Miloslava Plachkinova, Au Vo, Brian Hilton, Rahul Bhaskar
Scaling for agility: A reference model for hybrid traditional-agile software development methodologies
Asif Qumer Gill, Brian Henderson-Sellers, Mahmood Niazi
Business process flexibility - a systematic literature review with a software systems perspective
Riccardo Cognini, Flavio Corradini, Stefania Gnesi, Andrea Polini, Barbara Re
Normalization-Based Task Scheduling Algorithms for Heterogeneous Multi-Cloud Environment
Sanjaya K. Panda, Prasanta K. Jana
A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge
Qi Liu, Gengzhong Feng, Nengmin Wang, Giri Kumar Tayi
Erratum
Erratum to: Weighted subspace modeling for semantic concept retrieval using gaussian mixture models
Chao Chen, Mei-Ling Shyu, Shu-Ching Chen