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ORCIDBig Data, Volume 4
Volume 4, Number 1, March 2016
- Vasant Dhar:
The Future of Artificial Intelligence. 5-9
- Vasant Dhar, Pedro M. Domingos:
Pedro Domingos on The Master Algorithm: A Conversation with Vasant Dhar. 10-13
- Roger M. Stein:
Real Decision Support for Health Insurance Policy Selection. 14-24 - Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach
, György J. Simon:
Type 2 Diabetes Mellitus Trajectories and Associated Risks. 25-30 - Ajit Narayanan, Michael Greco:
Patient Experience of Australian General Practices. 31-46 - Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Rey Nicolas, Julien Briant, Pauline M. Rudd, Friedrich Reinhard, Matthew Parkan, Stéphane Joost:
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. 47-59
- Matt Griffin, Blake W. Nordstrom, Jon Scholes, Kate Joncas, Patrick Gordon, Elliott Krivenko, Winston Haynes, Roger Higdon, Elizabeth Stewart, Natali Kolker, Elizabeth Montague, Eugene Kolker:
A Case Study: Analyzing City Vitality with Four Pillars of Activity - Live, Work, Shop, and Play. 60-66
Volume 4, Number 2, June 2016
Editorial
- Ross Maciejewski, Douglas C. Montgomery:
Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency. 73-74
- Michael Gleicher:
A Framework for Considering Comprehensibility in Modeling. 75-88 - Bart Buelens:
Visual Circular Analysis of 266 Years of Sunspot Counts. 89-96 - Venkata P. Satagopam, Wei Gu, Serge Eifes, Piotr Gawron, Marek Ostaszewski, Stephan Gebel, Adriano Barbosa-Silva, Rudi Balling, Reinhard Schneider:
Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases. 97-108 - Dan McGinn, David Birch, David Akroyd, Miguel Molina-Solana, Yike Guo, William J. Knottenbelt:
Visualizing Dynamic Bitcoin Transaction Patterns. 109-119 - Pilar Rey del Castillo, Jesús Cardeñosa Lera:
An Exercise in Exploring Big Data for Producing Reliable Statistical Information. 120-128
- Jennifer G. Stadler, Kipp Donlon, Jordan D. Siewert, Tessa Franken, Nathaniel E. Lewis:
Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards. 129-135
Volume 4, Number 3, September 2016
- Vasant Dhar, Nandan Nilekani, Shankar Maruwada, Nagaraju Pappu:
Big Data As an Enabler of Primary Education. 137-140 - Steven Thompson, Stephen Varvel, Maciek Sasinowski, James P. Burke:
From Value Assessment to Value Cocreation: Informing Clinical Decision-Making with Medical Claims Data. 141-147
- Michal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, Jianying Hu:
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study. 148-159 - Brittany M. Bogle, Sanjay Mehrotra:
A Moment Matching Approach for Generating Synthetic Data. 160-178 - Evangelos E. Papalexakis, Christos Faloutsos:
Unsupervised Tensor Mining for Big Data Practitioners. 179-191
- Vasant Dhar:
Review of The New ABCs of Research: Achieving Breakthrough Collaborations. 192-193
Volume 4, Number 4, December 2016
Editorial
- Jeannette Bohg, Matei T. Ciocarlie, Javier Civera, Lydia E. Kavraki:
Big Data on Robotics. 195-196
- Yongqiang Huang, Matteo Bianchi, Minas V. Liarokapis, Yu Sun:
Recent Data Sets on Object Manipulation: A Survey. 197-216
- Adrian Boteanu, Aaron St. Clair, Anahita Mohseni-Kabir, Carl Saldanha, Sonia Chernova:
Leveraging Large-Scale Semantic Networks for Adaptive Robot Task Learning and Execution. 217-235 - Matthias Plappert, Christian Mandery, Tamim Asfour:
The KIT Motion-Language Dataset. 236-252 - Nathan D. Ratliff, Franziska Meier, Daniel Kappler, Stefan Schaal:
DOOMED: Direct Online Optimization of Modeling Errors in Dynamics. 253-268 - Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection of Subtle Context-Dependent Model Inaccuracies in High-Dimensional Robot Domains. 269-285
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