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ORCIDBig Data, Volume 2
Volume 2, Number 1, March 2014
- Foster J. Provost, Tom Fawcett
:
Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making". 1
- Susie Lu, John Akred:
Visualizing the Evolution of Rock Music. 2-4
- Mike Hoskins:
Big Data 2.0: Cataclysm or Catalyst? 5-6
- Krista Schnell, Colin Puri, Paul Mahler, Carl Dukatz:
Teaching an Old Log New Tricks with Machine Learning. 7-11
- Luís M. A. Bettencourt:
The Uses of Big Data in Cities. 12-22 - Sulayman K. Sowe, Koji Zettsu:
Curating Big Data Made Simple: Perspectives from Scientific Communities. 23-33
- Hossein Hassani, Gilbert Saporta, Emmanuel Sirimal Silva:
Data Mining and Official Statistics: The Past, the Present and the Future. 34-43
- Christopher Hillman, Yasmeen Ahmad, Mark Whitehorn, Andy Cobley:
Near Real-Time Processing of Proteomics Data Using Hadoop. 44-49 - Eugene Kolker, Evelyne Kolker:
Healthcare Analytics: Creating a Prioritized Improvement System with Performance Benchmarking. 50-54
Volume 2, Number 2, June 2014
- Vasant Dhar:
Why Big Data = Big Deal. 55-56
- Edd Dumbill:
An Interview with Duncan Watts. 57-62
- Ryan Panchadsaram:
Untapped Potential. 63-64 - Vasant Dhar:
Big Data and the Rise of Machines in Financial Markets. 65-67
- Peter Fox, James A. Hendler:
The Science of Data Science. 68-70
- Foster J. Provost:
ACM SIGKDD 2014 to be Held August 24-27 in Manhattan. 71-72
- Jim Hare:
Bring it on, Big Data: Beyond the Hype. 73-75
- Shawndra Hill:
TV Audience Measurement with Big Data. 76-86 - Brian Dalessandro, Claudia Perlich, Troy Raeder:
Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. 87-96 - Theja Tulabandhula, Cynthia Rudin:
Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing. 97-112
Volume 2, Number 3, September 2014
- Vasant Dhar:
Big Data and Predictive Analytics in Health Care. 113-116
- Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich:
A Data Scientist's Guide to Start-Ups. 117-128
- Thanassis Tiropanis, Wendy Hall, James A. Hendler, Christian de Larrinaga:
The Web Observatory: A Middle Layer for Broad Data. 129-133
- Leo Anthony Celi, Edward T. Moseley, Christopher Moses, Padhraig Ryan, Melek Somai, David J. Stone, Kai-ou Tang:
From Pharmacovigilance to Clinical Care Optimization. 134-141
- Mike Hoskins:
Common Big Data Challenges and How to Overcome Them. 142-143
- Luciano Barbosa, Kien Pham, Cláudio T. Silva, Marcos R. Vieira, Juliana Freire:
Structured Open Urban Data: Understanding the Landscape. 144-154
- James H. Faghmous, Vipin Kumar:
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science. 155-163 - Jaume Bacardit, Pawel Widera, Nicola Lazzarini, Natalio Krasnogor:
Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example. 164-176
Volume 2, Number 4, December 2014
- Vasant Dhar:
Can Big Data Machines Analyze Stock Market Sentiment? 177-181
- Vasant Dhar:
Healthcare and Data: An Interview with Peter Szolovits. 182-184
- Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan:
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System. 185-195 - Ting Wang, Dashun Wang:
Why Amazon's Ratings Might Mislead You: The Story of Herding Effects. 196-204 - James A. Hendler:
Data Integration for Heterogenous Datasets. 205-215 - Evangelos E. Papalexakis, Alona Fyshe, Nicholas D. Sidiropoulos, Partha Pratim Talukdar, Tom M. Mitchell, Christos Faloutsos:
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. 216-229
- Ashish Gupta:
SQL-in-Hadoop: Beyond the Benchmark. 233-236
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