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ORCIDInternational Journal of Data Science and Analytics, Volume 7
Volume 7, Number 1, February 2019
- Ravindra Khattree
, Manoj Bahuguna:
An alternative data analytic approach to measure the univariate and multivariate skewness. 1-16 - Kenichi Koizumi, Peter Eades, Kei Hiraki, Mary Inaba:
BJR-tree: fast skyline computation algorithm using dominance relation-based tree structure. 17-34 - Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
Automatic emotion detection in text streams by analyzing Twitter data. 35-51 - Gabriele Tolomei, Mounia Lalmas, Ayman Farahat, Andrew Haines:
You must have clicked on this ad by mistake! Data-driven identification of accidental clicks on mobile ads with applications to advertiser cost discounting and click-through rate prediction. 53-66 - Markus Götz, Mikhail Kononets, Christian Bodenstein, Morris Riedel, Matthias Book, Olafur P. Palsson:
Automatic water mixing event identification in the Koljö fjord observatory data. 67-79
Volume 7, Number 2, March 2019
- Ivo D. Dinov:
Quant data science meets dexterous artistry. 81-86 - Holger Trittenbach, Klemens Böhm:
Dimension-based subspace search for outlier detection. 87-101 - Shan Suthaharan, Weining Shen:
Elliptical modeling and pattern analysis for perturbation models and classification. 103-113 - Huimin Zhang, Ming Yang, Wanqi Yang, Jing Lv:
Spatial-aware hyperspectral image classification via multifeature kernel dictionary learning. 115-129 - Soumajit Pramanik, Mohit Sharma, Maximilien Danisch, Qinna Wang, Jean-Loup Guillaume, Bivas Mitra:
Easy-Mention: a model-driven mention recommendation heuristic to boost your tweet popularity. 131-147 - Vsevolod Nikulin, Albert Podusenko, Ivan Tanev, Katsunori Shimohara:
Regression-based supervised learning of autosteering of a road car featuring a delayed steering response. 149-163
Volume 7, Number 3, April 2019
- Jesus Garcia-Mancilla, Jose Emmanuel Ramirez-Marquez, Carlo Lipizzi, Gregg T. Vesonder, Víctor M. González:
Characterizing negative sentiments in at-risk populations via crowd computing: a computational social science approach. 165-177 - Lingyu Lyu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks. 179-199 - Abhishek Mukherji, Xika Lin, Ermal Toto, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward:
FIRE: a two-level interactive visualization for deep exploration of association rules. 201-226 - Sumyea Helal, Jiuyong Li, Lin Liu, Esmaeil Ebrahimie, Shane Dawson, Duncan J. Murray:
Identifying key factors of student academic performance by subgroup discovery. 227-245
Volume 7, Number 4, June 2019
- Daniel Berrar, Werner Dubitzky:
Should significance testing be abandoned in machine learning? 247-257 - Rajiv Sambasivan, Sourish Das:
Classification and regression using augmented trees. 259-276 - Houtao Deng:
Interpreting tree ensembles with inTrees. 277-287 - Oliver Schulte, Zhensong Qian:
FACTORBASE: multi-relational structure learning with SQL all the way. 289-309 - Jacopo De Stefani, Yann-Aël Le Borgne, Olivier Caelen, Dalila Hattab, Gianluca Bontempi:
Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. 311-329
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