Journal: Big Data

Volume 2, Issue 4

177 -- 181Vasant Dhar. Can Big Data Machines Analyze Stock Market Sentiment?
182 -- 184Vasant Dhar. Healthcare and Data: An Interview with Peter Szolovits
185 -- 195Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao 0002, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan. Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System
196 -- 204Ting Wang, Dashun Wang. Why Amazon's Ratings Might Mislead You: The Story of Herding Effects
205 -- 215James A. Hendler. Data Integration for Heterogenous Datasets
216 -- 229Evangelos 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
233 -- 236Ashish Gupta. SQL-in-Hadoop: Beyond the Benchmark

Volume 2, Issue 3

113 -- 116Vasant Dhar. Big Data and Predictive Analytics in Health Care
117 -- 128Foster J. Provost, Geoffrey I. Webb, Ron Bekkerman, Oren Etzioni, Usama M. Fayyad, Claudia Perlich. A Data Scientist's Guide to Start-Ups
129 -- 133Thanassis Tiropanis, Wendy Hall, James A. Hendler, Christian de Larrinaga. The Web Observatory: A Middle Layer for Broad Data
134 -- 141Leo Anthony Celi, Edward T. Moseley, Christopher Moses, Padhraig Ryan, Melek Somai, David Stone, Kai-ou Tang. From Pharmacovigilance to Clinical Care Optimization
142 -- 143Mike Hoskins. Common Big Data Challenges and How to Overcome Them
144 -- 154Luciano Barbosa, Kien Pham, Cláudio T. Silva, Marcos R. Vieira, Juliana Freire. Structured Open Urban Data: Understanding the Landscape
155 -- 163James H. Faghmous, Vipin Kumar. A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science
164 -- 176Jaume Bacardit, Pawel Widera, Nicola Lazzarini, Natalio Krasnogor. Hard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an Example

Volume 2, Issue 2

55 -- 56Vasant Dhar. Why Big Data = Big Deal
57 -- 62Edd Dumbill. An Interview with Duncan Watts
63 -- 64Ryan Panchadsaram. Untapped Potential
65 -- 67Vasant Dhar. Big Data and the Rise of Machines in Financial Markets
68 -- 70Peter Fox, James A. Hendler. The Science of Data Science
71 -- 72Foster J. Provost. ACM SIGKDD 2014 to be Held August 24-27 in Manhattan
73 -- 75Jim Hare. Beyond the Hype
76 -- 86Shawndra Hill. TV Audience Measurement with Big Data
87 -- 96Brian Dalessandro, Claudia Perlich, Troy Raeder. Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets
97 -- 112Theja Tulabandhula, Cynthia Rudin. Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing

Volume 2, Issue 1

1 -- 0Foster J. Provost, Tom Fawcett. Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making"
2 -- 4Susie Lu, John Akred. Visualizing the Evolution of Rock Music
5 -- 6Mike Hoskins. Big Data 2.0: Cataclysm or Catalyst?
7 -- 11Krista Schnell, Colin Puri, Paul Mahler, Carl Dukatz. Teaching an Old Log New Tricks with Machine Learning
12 -- 22Luís M. A. Bettencourt. The Uses of Big Data in Cities
23 -- 33Sulayman K. Sowe, Koji Zettsu. Curating Big Data Made Simple: Perspectives from Scientific Communities
34 -- 43Hossein Hassani, Gilbert Saporta, Emmanuel Sirimal Silva. Data Mining and Official Statistics: The Past, the Present and the Future
44 -- 49Christopher Hillman, Yasmeen Ahmad, Mark Whitehorn, Andy Cobley. Near Real-Time Processing of Proteomics Data Using Hadoop
50 -- 54Eugene Kolker, Evelyne Kolker. Healthcare Analytics: Creating a Prioritized Improvement System with Performance Benchmarking