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ORCIDInternational Journal of Data Science and Analytics, Volume 4
Volume 4, Number 1, August 2017
- Lu Zhang, Xintao Wu
:
Anti-discrimination learning: a causal modeling-based framework. 1-16 - Shashwat Mishra, Vincent Leroy, Sihem Amer-Yahia:
Colloquial region discovery for retail products: discovery and application. 17-34 - Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn:
Improving predictions of pediatric surgical durations with supervised learning. 35-52 - K. S. Arun, V. K. Govindan, S. D. Madhu Kumar:
On integrating re-ranking and rank list fusion techniques for image retrieval. 53-81
Volume 4, Number 2, September 2017
- Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic:
Using data to build a better EM: EM* for big data. 83-97 - Jing Song, Satoshi Oyama, Masahito Kurihara:
Tell cause from effect: models and evaluation. 99-112 - Cao Duy Truong, Duong Tuan Anh:
A novel clustering-based method for time series motif discovery under time warping measure. 113-126 - Soha Mohamed, Alia I. Abdelmoty:
Spatio-semantic user profiles in location-based social networks. 127-142 - Daniel P. Berrar, Philippe Lopes, Werner Dubitzky:
Caveats and pitfalls in crowdsourcing research: the case of soccer referee bias. 143-151
Volume 4, Number 3, November 2017
- David C. Anastasiu, George Karypis:
Efficient identification of Tanimoto nearest neighbors. 153-172 - Georg Steinbuss, Klemens Böhm:
Hiding outliers in high-dimensional data spaces. 173-189 - Azad Naik, Huzefa Rangwala:
HierFlat: flattened hierarchies for improving top-down hierarchical classification. 191-208 - Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. 209-231 - Piyush Kumar Sharma, Gary Holness:
Erratum to: (L2) -norm transformation for improving k-means clustering. 233-234
Volume 4, Number 4, December 2017
- Martin Giese, Jerry Gao, Yifeng Zeng:
IEEE BigDataService 2016 conference. 235-236 - Yaqiong Li, Petr Musílek, Edward Lozowski:
Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields. 237-250 - Maria T. Patterson, Nikolas Anderson, Collin Bennett, Jacob Bruggemann, Robert L. Grossman, Matthew Handy, Vuong Ly, Daniel J. Mandl, Shane Pederson, James Pivarski, Ray Powell, Jonathan Spring, Walt Wells, John Xia:
The Matsu Wheel: a reanalysis framework for Earth satellite imagery in data commons. 251-264 - Davide Tosi:
Cell phone big data to compute mobility scenarios for future smart cities. 265-284 - Alessandro Lulli, Lorenzo Gabrielli, Patrizio Dazzi, Matteo Dell'Amico, Pietro Michiardi, Mirco Nanni, Laura Ricci:
Scalable and flexible clustering solutions for mobile phone-based population indicators. 285-299 - Francky Fouedjio:
A spectral clustering approach for multivariate geostatistical data. 301-312
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