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Big Data, Volume 5
Volume 5, Number 1, March 2017
- Vasant Dhar, Sam Bowman:
A Perspective on Natural Language Understanding Capability: An Interview with Sam Bowman. 5-11
- Jay Aikat, Thomas M. Carsey, Karamarie Fecho, Kevin Jeffay, Ashok Kumar Krishnamurthy, Peter J. Mucha, Arcot Rajasekar, Stanley C. Ahalt:
Scientific Training in the Era of Big Data: A New Pedagogy for Graduate Education. 12-18
- Lifu Huang, Jonathan May
, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. 19-31 - Arash Barfar, Balaji Padmanabhan:
Predicting Presidential Election Outcomes from What People Watch. 32-41 - Matthew G. Tuck
A Comprehensive Index for Predicting Risk of Anemia from Patients' Diagnoses. 42-52 - Verica Buchanan, Yafeng Lu, Nathan J. McNeese, Michael Steptoe, Ross Maciejewski, Nancy J. Cooke:
The Role of Teamwork in the Analysis of Big Data: A Study of Visual Analytics and Box Office Prediction. 53-66
Volume 5, Number 2, June 2017
Editorial
- Solon Barocas
Social and Technical Trade-Offs in Data Science. 71-72
- Marina Drosou, H. V. Jagadish, Evaggelia Pitoura, Julia Stoyanovich:
Diversity in Big Data: A Review. 73-84
- Gina Neff
Critique and Contribute: A Practice-Based Framework for Improving Critical Data Studies and Data Science. 85-97 - Galit Shmueli
Research Dilemmas with Behavioral Big Data. 98-119 - Brian d'Alessandro, Cathy O'Neil, Tom LaGatta:
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification. 120-134 - Bettina Berendt, Sören Preibusch:
Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop - and Under the Looking Glass. 135-152 - Alexandra Chouldechova:
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments. 153-163 - Elana Zeide:
The Structural Consequences of Big Data-Driven Education. 164-172
Volume 5, Number 3, September 2017
- Vasant Dhar:
What Is the Role of Artificial Intelligence in Sports? 173-174
- Lewis Alexander, Sanjiv R. Das, Zachary G. Ives, H. V. Jagadish, Claire Monteleoni
Research Challenges in Financial Data Modeling and Analysis. 177-188 - Ravi Shroff:
Predictive Analytics for City Agencies: Lessons from Children's Services. 189-196
- Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler, Foster J. Provost:
Enhancing Transparency and Control When Drawing Data-Driven Inferences About Individuals. 197-212 - Maria T. Patterson
Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping. 213-224 - Manu Shukla, Raimundo F. Dos Santos, Feng Chen, Chang-Tien Lu
DISCRN: A Distributed Storytelling Framework for Intelligence Analysis. 225-245 - Kush R. Varshney, Homa Alemzadeh:
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products. 246-255 - Apostolos Filippas, Theodoros Lappas
Strength in Numbers: Using Big Data to Simplify Sentiment Classification. 256-271
Volume 5, Number 4, December 2017
- Gillian Bolsover
Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda. 273-276
- Vasant Dhar:
Should We Regulate Digital Platforms? 277-278
- Christian Grimme, Mike Preuss
Social Bots: Human-Like by Means of Human Control? 279-293 - Fabian Schäfer, Stefan Evert, Philipp Heinrich:
Japan's 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe's Hidden Nationalist Agenda. 294-309 - Denis Stukal, Sergey Sanovich
Detecting Bots on Russian Political Twitter. 310-324 - David Sathiaraj
Improving Predictive Accuracy in Elections. 325-336 - Aastha Nigam, Henry K. Dambanemuya
Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring. 337-355 - Steve Huckle
Fake News: A Technological Approach to Proving the Origins of Content, Using Blockchains. 356-371
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