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ORCIDBig Data, Volume 3
Volume 3, Number 1, March 2015
Editorial
- Charlie Catlett, Rayid Ghani:
Big Data for Social Good. 1-2
- Tong Wang, Cynthia Rudin, Daniel Wagner, Rich Sevieri:
Finding Patterns with a Rotten Core: Data Mining for Crime Series with Cores. 3-21 - Shyam Ranganathan, Stamatios C. Nicolis
, Viktoria Spaiser, David J. T. Sumpter:
Understanding Democracy and Development Traps Using a Data-Driven Approach. 22-33 - Feng Chen, Daniel B. Neill:
Human Rights Event Detection from Heterogeneous Social Media Graphs. 34-40 - Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco:
Targeting Villages for Rural Development Using Satellite Image Analysis. 41-53
Volume 3, Number 2, June 2015
- Vasant Dhar:
Should You Trust Your Money to a Robot? 55-58
- Joshua T. Bram, Boyd Warwick-Clark, Eric Obeysekare, Khanjan Mehta:
Utilization and Monetization of Healthcare Data in Developing Countries. 59-66
- Loryana L. Vie, Lawrence M. Scheier, Paul B. Lester, Tiffany E. Ho, Darwin R. Labarthe, Martin E. P. Seligman:
The U.S. Army Person-Event Data Environment: A Military-Civilian Big Data Enterprise. 67-79 - Douglas Kondziolka, Benjamin T. Cooper, L. Dade Lunsford, Joshua Silverman:
Development, Implementation, and Use of a Local and Global Clinical Registry for Neurosurgery. 80-89
- Brian Dalessandro, Rod Hook, Claudia Perlich, Foster J. Provost:
Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. 90-102 - Keith Feldman, Nitesh V. Chawla:
Does Medical School Training Relate to Practice? Evidence from Big Data. 103-113 - Ronald J. Ozminkowski, Timothy S. Wells, Kevin Hawkins, Gandhi R. Bhattarai, Charles W. Martel, Charlotte S. Yeh:
Big Data, Little Data, and Care Coordination for Medicare Beneficiaries with Medigap Coverage. 114-125
Volume 3, Number 3, September 2015
- Vasant Dhar:
The Scope and Challenges for Deep Learning. 127-129
- John J. Horton, Prasanna Tambe:
Labor Economists Get Their Microscope: Big Data and Labor Market Analysis. 130-137 - Arash Barfar, Balaji Padmanabhan:
Does Television Viewership Predict Presidential Election Outcomes? 138-147 - Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouzé, Nuria Oliver, Fabio Pianesi, Alex Pentland:
Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics. 148-158 - Atoshum Cahsai, Christos Anagnostopoulos, Peter Triantafillou:
Scalable Data Quality for Big Data: The Pythia Framework for Handling Missing Values. 159-172 - Okan Azmak, Hannah M. Bayer, Andrew Caplin, Miyoung Chun, Paul Glimcher, Steven E. Koonin, Aristides Patrinos:
Using Big Data to Understand the Human Condition: The Kavli HUMAN Project. 173-188 - Kenneth M. Langa, David Cutler:
Opportunities for New Insights on the Life-Course Risks and Outcomes of Cognitive Decline in the Kavli HUMAN Project. 189-192 - Adam Drewnowski, Ichiro Kawachi:
Diets and Health: How Food Decisions Are Shaped by Biology, Economics, Geography, and Social Interactions. 193-197 - Laura J. Bierut, David Cesarini:
How Genetic and Other Biological Factors Interact with Smoking Decisions. 198-202 - Dennis Ausiello, Scott Lipnick:
Real-Time Assessment of Wellness and Disease in Daily Life. 203-208
Volume 3, Number 4, December 2015
Editorial
- Mark W. Craven, C. David Page:
Big Data in Healthcare: Opportunities and Challenges. 209-210
- Susan Gruber:
Targeted Learning in Healthcare Research. 211-218
- Bruce R. Schatz:
National Surveys of Population Health: Big Data Analytics for Mobile Health Monitors. 219-229
- Helena M. M. Patching, Laurence M. Hudson, Warrick Cooke, Andres J. Garcia, Simon I. Hay, Mark Roberts, Catherine L. Moyes:
A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive Models. 230-237 - James Ryan, James A. Hendler, Kristin P. Bennett:
Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records. 238-248 - Tom Fawcett:
Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science. 249-266 - Seyda Ertekin, Cynthia Rudin:
A Bayesian Approach to Learning Scoring Systems. 267-276 - Narges Razavian, Saul Blecker, Ann Marie Schmidt, Aaron Smith-McLallen, Somesh Nigam, David A. Sontag:
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors. 277-287
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